Alternatives to DataCurrent

The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.

HERE is the #1 Location Platform For Developers*, ranked above Google Mapbox and TomTom in terms of mapping quality. Switch to a higher-quality offering and take advantage more monetization opportunities. Rich location data, intelligent products, and powerful tools can all be combined to propel your business forward. HERE allows you to add location-aware capabilities into your apps and online services. You get free access to over 20 market-leading AAPs, including Mapping and Geocoding, Routing and Traffic, Weather, and many more. Sign up for HERE Freemium to get access to the HERE XYZ Map Builder, which offers 5GB of storage for all your geodata. No matter what your level of skill, you can get started with industry-leading mapping technology and location technology. *Counterpoint 2019 Report

OpenFlows CivilStorm is an advanced software tool designed for the thorough modeling and analysis of stormwater systems. Modeling these systems can be intricate due to various factors such as flow backups, pipe surcharges, and other complexities. This software addresses all facets of stormwater management, allowing users to identify bottlenecks in the system, enhance capacity, and mitigate flooding occurrences to ensure compliance with regulatory standards. By utilizing optimized network designs and comprehensive master plans, users can reduce their capital expenditures on infrastructure improvements. OpenFlows CivilStorm effectively analyzes a wide range of stormwater system components, including rainfall, runoff, inlet capture, bypass mechanisms, as well as gravity and pressure piping structures. Users can also model ponds, outlet structures, open channels, and culverts, providing a full spectrum of stormwater modeling capabilities. Furthermore, it allows for the assessment of both pressure and free-surface flow conditions across complex networks, enabling the design of sophisticated pond outlets under varying tailwater scenarios. It also supports the integration of weirs, orifices, culverts, risers, and inlet boxes into system designs, making it a versatile choice for stormwater management professionals. Thus, OpenFlows CivilStorm stands as an essential tool for those seeking to optimize their stormwater systems efficiently.

During difficult economic periods, funding for infrastructure initiatives is often limited. OpenFlows StormCAD empowers professionals involved in storm sewer project development to maximize their efficiency. This software offers advanced capabilities for roadway and site designers, stormwater master planners, and land developers, enabling them to achieve superior designs while keeping expenditures low. It allows users to load models with wet weather runoff flows sourced from Hydro-35 data or Intensity-Duration-Frequency rainfall events. The Rational Method is utilized to calculate runoff flows, providing insights into how much stormwater runoff will reach an inlet compared to how much will flow downstream in a gutter or pond on the roadway. Additionally, it enables users to rapidly verify that the flow spread in a gutter stays within acceptable design parameters. By employing these tools, professionals can navigate project challenges more effectively and deliver optimal results despite budget constraints.

Embrace flexibility with a top-tier, scalable enterprise data integration platform that boasts high performance. It supports every phase of the data integration lifecycle, from initiating the initial project to ensuring the success of critical enterprise deployments. PowerCenter, a platform driven by metadata, expedites data integration initiatives, enabling businesses to access data much faster than through traditional manual coding. Developers and analysts can work together to quickly prototype, revise, analyze, validate, and launch projects within days rather than taking months. Serving as the cornerstone for your data integration efforts, PowerCenter allows for the use of machine learning to effectively oversee and manage your deployments across various domains and locations, enhancing operational efficiency and adaptability. This level of integration ensures that organizations can respond swiftly to changing data needs and market demands.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

Streamline your EDI management by utilizing a user-friendly cloud interface that offers extensive monitoring and tracking capabilities. In just three simple steps, you can allocate EDI and other messages while specifying the preferred communication method. Effortlessly decode intricate non-standard data formats and create a visual representation for better understanding. Enjoy seamless tracking and monitoring features, with the ability to delve into comprehensive error handling and reporting. Enable your business partners to monitor file transfers and securely send or receive files via the HTTPS protocol. Furthermore, manage and operate STFP, AS2, and HTTPS servers effortlessly to facilitate file exchanges with your partners, ensuring a smooth and efficient collaboration experience. By adopting this approach, you can enhance communication and streamline operations, ultimately leading to improved partner relationships.

risQ stands at the forefront of modeling and translating climate risks for those involved in municipal debt, providing crucial insights into how these risks impact financial outcomes. By fostering transparency around municipal climate hazards, risQ equips investors with the necessary tools to effectively manage their portfolios while simultaneously helping cities pinpoint cost-effective strategies for climate adaptation. The growing severity of heatwaves endangers public health and disrupts the energy sector, jeopardizing city tax revenues. Moreover, the frequency and intensity of both coastal and inland flooding are on the rise, posing threats to billions in property value and real estate holdings. Additionally, hurricanes are becoming more severe, delivering record levels of rainfall and challenging urban areas in unprecedented ways. As cities expand and drought conditions worsen, the likelihood of wildfires threatening properties and infrastructure continues to escalate. Ultimately, risQ’s insights are crucial for navigating these complex and evolving challenges.

Conventional techniques for integrating mainframe data, such as ETL, data warehouses, and connector development, are increasingly inadequate in terms of speed, accuracy, and efficiency in today’s business landscape. As the amount of data generated and stored on mainframes continues to surge, these outdated methods fall further behind. Data virtualization emerges as the solution to bridge this growing divide, automating the accessibility of mainframe data for developers and applications alike. This approach allows organizations to discover and map their data just once, after which it can be easily virtualized and reused across various platforms. Ultimately, this capability enables your data to align with your business goals and aspirations. By leveraging data virtualization on z/OS, organizations can simplify the complexities associated with mainframe resources. Moreover, data virtualization facilitates the integration of data from numerous disparate sources into a cohesive logical repository, significantly enhancing the ability to connect mainframe information with distributed applications. This method also allows for the enrichment of mainframe data by incorporating insights from location, social media, and other external datasets, promoting a more comprehensive understanding of business dynamics.

Enterprise Enabler brings together disparate information from various sources and isolated data sets, providing a cohesive view within a unified platform; this includes data housed in the cloud, distributed across isolated databases, stored on instruments, located in Big Data repositories, or found within different spreadsheets and documents. By seamlessly integrating all your data, it empowers you to make timely and well-informed business choices. The system creates logical representations of data sourced from its original locations, enabling you to effectively reuse, configure, test, deploy, and monitor everything within a single cohesive environment. This allows for the analysis of your business data as events unfold, helping to optimize asset utilization, reduce costs, and enhance your business processes. Remarkably, our deployment timeline is typically 50-90% quicker, ensuring that your data sources are connected and operational in record time, allowing for real-time decision-making based on the most current information available. With this solution, organizations can enhance collaboration and efficiency, leading to improved overall performance and strategic advantage in the market.

Oracle Data Service Integrator empowers organizations to swiftly create and oversee federated data services, allowing for unified access to diverse datasets. This tool is entirely built on standards, is declarative in nature, and promotes the reusability of data services. It stands out as the sole data federation solution that facilitates the development of bidirectional (both read and write) data services across various data sources. Moreover, it introduces an innovative feature that removes the need for coding by enabling users to graphically design both straightforward and intricate modifications to different data sources. Users can easily install, verify, uninstall, upgrade, and initiate their experience with Data Service Integrator. Initially branded as Liquid Data and AquaLogic Data Services Platform (ALDSP), Oracle Data Service Integrator still retains some references to these earlier names within its product structure, installation paths, and components. This continuity ensures that users familiar with the legacy names can still navigate the system effectively.

The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.

After more than twenty years of continuous enhancement, PAM has evolved through invaluable insights and recommendations from a multitude of clients with varying requirements, ensuring it remains at the forefront of agricultural technology. This innovative tool consistently grows in strength and utility, allowing users to Budget, Plan, and Record their agricultural activities effectively for crop establishment and monitoring. Users have the option to integrate PAM with either a Mapping Module or a Precision Farming Mapping Module, significantly boosting the software's reporting functions and enriching the overall experience of production tracking. By meticulously monitoring all expenses and revenues, users can leverage robust gross margin reports to identify which areas of production are facing challenges and which ones are thriving. Additionally, PAM allows for in-depth analysis of water usage efficiency, providing comprehensive rainfall and weather graphs, along with comparative reports on different varieties and blocks, to offer a clear insight into operational performance. Furthermore, the software facilitates data imports from soil and tissue testing labs, enabling users to graph results or visualize data directly on their farm maps, making it an indispensable tool for modern farming. This holistic approach to farm management ensures that every aspect of agricultural activities is optimized for success.

HydroCAD Stormwater Modelling allows for easy TR-20, TR55, SBUH and Rational hydrology calculations, as well as TC calculations, storage, outlet hydraulics and pump routing, underground storage, pollutant loads, and more. You can import CAD directly, bypass routing, siphons, skimmers and tubes, as well as local rainfall data import. There is also an expanding chamber library. Interactive graphical environments are intuitive and fast, resulting in better results every time.

TIBCO provides robust solutions designed to fulfill your requirements for performance, throughput, reliability, and scalability, while also offering diverse technology and deployment alternatives to ensure real-time data accessibility in critical areas. The TIBCO Platform integrates a continuously developing array of your TIBCO solutions, regardless of their hosting environment—be it cloud-based, on-premises, or at the edge—into a cohesive, single experience that simplifies management and monitoring. By doing so, TIBCO supports the creation of solutions vital for the success of major enterprises around the globe, enabling them to thrive in a competitive landscape. This commitment to innovation positions TIBCO as a key player in the digital transformation journey of businesses.

Oracle Big Data Preparation Cloud Service is a comprehensive managed Platform as a Service (PaaS) solution that facilitates the swift ingestion, correction, enhancement, and publication of extensive data sets while providing complete visibility in a user-friendly environment. This service allows for seamless integration with other Oracle Cloud Services, like the Oracle Business Intelligence Cloud Service, enabling deeper downstream analysis. Key functionalities include profile metrics and visualizations, which become available once a data set is ingested, offering a visual representation of profile results and summaries for each profiled column, along with outcomes from duplicate entity assessments performed on the entire data set. Users can conveniently visualize governance tasks on the service's Home page, which features accessible runtime metrics, data health reports, and alerts that keep them informed. Additionally, you can monitor your transformation processes and verify that files are accurately processed, while also gaining insights into the complete data pipeline, from initial ingestion through to enrichment and final publication. The platform ensures that users have the tools needed to maintain control over their data management tasks effectively.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

VMware Cloud Director stands out as a premier platform for delivering cloud services, utilized by numerous top-tier cloud providers to efficiently manage and operate their cloud service offerings. Through VMware Cloud Director, these providers can offer secure, scalable, and adaptable cloud resources to a vast array of enterprises and IT teams globally. By partnering with one of our Cloud Provider Partners, users can leverage VMware technology in the cloud and innovate with VMware Cloud Director. This platform emphasizes a policy-driven strategy that guarantees enterprises can access isolated virtual resources, independent role-based authentication, and meticulous control over their services. With a focus on compute, storage, networking, and security through a policy-driven lens, tenants benefit from securely segregated virtual resources and customized management of their public cloud environments. Furthermore, the ability to extend data centers across various locations and oversee resources via an intuitive single-pane interface with comprehensive multi-site views enhances operational efficiency. This comprehensive approach allows organizations to optimize their cloud strategies and improve overall service delivery.

Velox Software Suite allows data migration and system integration throughout an entire organization. The suite includes two applications: Migration Studio VXm -- which allows users to control data migrations; and Integration Server VXi -- which automates data processing and integration. Extract multiple sources and send to multiple destinations. A near real-time, unified view of all data without having to move between sources. Physically combine data from multiple sources, reduce storage locations, and transform according to business rules.

The Hammerspace Global Data Environment offers worldwide visibility and accessibility of network shares, connecting remote data centers and public clouds seamlessly. It stands out as the only genuinely global file system that utilizes metadata replication, file-specific data services, an intelligent policy engine, and seamless data orchestration, ensuring that you can access your data exactly when and where it is needed. With Hammerspace, intelligent policies are employed to effectively orchestrate and manage your data resources. The objective-based policy engine is a powerful feature that enhances file-specific data services and orchestration capabilities. These services empower businesses to operate in new and innovative ways that were previously hindered by cost and performance limitations. Additionally, you can choose which files to relocate or replicate to designated locations, either through the objective-based policy engine or as needed, providing unparalleled flexibility in data management. This innovative approach enables organizations to optimize their data usage and enhance operational efficiency.

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

Embedded Data Virtualization allows you to extend your applications with unified data connectivity. CData Query Federation Drivers are a universal data access layer that makes it easier to develop applications and access data. Through a single interface, you can write SQL and access data from 250+ applications and databases. The CData Query Federation Driver provides powerful tools such as: * A Single SQL Language and API: A common SQL interface to work with multiple SaaS and NoSQL, relational, or Big Data sources. * Combined Data Across Resources: Create queries that combine data from multiple sources without the need to perform ETL or any other data movement. * Intelligent Push-Down - Federated queries use intelligent push-down to improve performance and throughput. * 250+ Supported Connections: Plug-and–Play CData Drivers allow connectivity to more than 250 enterprise information sources.

Oracle Big Data SQL Cloud Service empowers companies to swiftly analyze information across various platforms such as Apache Hadoop, NoSQL, and Oracle Database, all while utilizing their existing SQL expertise, security frameworks, and applications, achieving remarkable performance levels. This solution streamlines data science initiatives and facilitates the unlocking of data lakes, making the advantages of Big Data accessible to a wider audience of end users. It provides a centralized platform for users to catalog and secure data across Hadoop, NoSQL systems, and Oracle Database. With seamless integration of metadata, users can execute queries that combine data from Oracle Database with that from Hadoop and NoSQL databases. Additionally, the service includes utilities and conversion routines that automate the mapping of metadata stored in HCatalog or the Hive Metastore to Oracle Tables. Enhanced access parameters offer administrators the ability to customize column mapping and govern data access behaviors effectively. Furthermore, the capability to support multiple clusters allows a single Oracle Database to query various Hadoop clusters and NoSQL systems simultaneously, thereby enhancing data accessibility and analytics efficiency. This comprehensive approach ensures that organizations can maximize their data insights without compromising on performance or security.

Varada offers a cutting-edge big data indexing solution that adeptly balances performance and cost while eliminating the need for data operations. This distinct technology acts as an intelligent acceleration layer within your data lake, which remains the central source of truth and operates within the customer's cloud infrastructure (VPC). By empowering data teams to operationalize their entire data lake, Varada facilitates data democratization while ensuring fast, interactive performance, all without requiring data relocation, modeling, or manual optimization. The key advantage lies in Varada's capability to automatically and dynamically index pertinent data, maintaining the structure and granularity of the original source. Additionally, Varada ensures that any query can keep pace with the constantly changing performance and concurrency demands of users and analytics APIs, while also maintaining predictable cost management. The platform intelligently determines which queries to accelerate and which datasets to index, while also flexibly adjusting the cluster to match demand, thereby optimizing both performance and expenses. This holistic approach to data management not only enhances operational efficiency but also allows organizations to remain agile in an ever-evolving data landscape.

Rapidly establish cloud environments tailored for spontaneous development, testing, and enhanced productivity for IT and business personnel. Mitigate the risks and expenses associated with managing your data lake by adopting robust data governance practices that include comprehensive end-to-end data lineage for business users. Achieve greater cost efficiency by providing clean, reliable, and timely data for your data lakes, data warehouses, or big data initiatives, while also consolidating applications and phasing out legacy databases. Benefit from automatic schema propagation to accelerate job creation, implement type-ahead search features, and maintain backward compatibility, all while following a design that allows for execution across varied platforms. Develop data integration workflows and enforce governance and quality standards through an intuitive design that identifies and recommends usage trends, thus enhancing user experience. Furthermore, boost visibility and information governance by facilitating complete and authoritative insights into data, backed by proof of lineage and quality, ensuring that stakeholders can make informed decisions based on accurate information. With these strategies in place, organizations can foster a more agile and data-driven culture.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

Red Hat JBoss Data Virtualization serves as an efficient solution for virtual data integration, effectively releasing data that is otherwise inaccessible and presenting it in a unified, user-friendly format that can be easily acted upon. It allows data from various, physically distinct sources, such as different databases, XML files, and Hadoop systems, to be viewed as a cohesive set of tables within a local database. This solution provides real-time, standards-based read and write access to a variety of heterogeneous data repositories. By streamlining the process of accessing distributed data, it accelerates both application development and integration. Users can integrate and adapt data semantics to meet the specific requirements of data consumers. Additionally, it offers central management for access control and robust auditing processes through a comprehensive security framework. As a result, fragmented data can be transformed into valuable insights swiftly, catering to the dynamic needs of businesses. Moreover, Red Hat provides ongoing support and maintenance for its JBoss products during specified periods, ensuring that users have access to the latest enhancements and assistance.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

A comprehensive enterprise data virtualization solution enables seamless access to a variety of data sources while establishing a robust foundation of datasets and IT-managed data services suitable for virtually any application. The TIBCO® Data Virtualization system, functioning as a contemporary data layer, meets the dynamic demands of organizations with evolving architectures. By eliminating bottlenecks, it fosters consistency and facilitates reuse by providing on-demand access to all data through a unified logical layer that is secure, governed, and accessible to a wide range of users. With immediate availability of all necessary data, organizations can derive actionable insights and respond swiftly in real-time. Users benefit from the ability to effortlessly search for and choose from a self-service directory of virtualized business data, utilizing their preferred analytics tools to achieve desired outcomes. This shift allows them to concentrate more on data analysis rather than on the time-consuming task of data retrieval. Furthermore, the streamlined process enhances productivity and enables teams to make informed decisions quickly and effectively.

Envision possessing a precise digital model that encapsulates both the natural and human-made components affecting your sanitary sewer, stormwater, or combined sewer systems. With InfoWorks ICM at your disposal, you face no limitations. Renowned globally among cities and engineering firms, InfoWorks ICM sets a benchmark in enhancing the efficacy of flood management, stormwater, and sewer infrastructures. It caters to the needs of both small municipalities and large enterprises, ensuring that every organization finds an appropriate solution for effective system management. This innovative tool empowers you to oversee your city's infrastructure with confidence, ensuring water quality is maintained, penalties are avoided, and flood hazards are minimized. By facilitating the creation of a comprehensive model that encompasses significant features in natural and built environments, InfoWorks ICM allows engineers to incorporate manholes, pipes, inlets, bridges, sluices, weirs, and pumps for precise 1D hydrodynamic and 2D simulations, ultimately improving decision-making and operational efficiency. The versatility of InfoWorks ICM makes it an indispensable asset for modern infrastructure management.

MODRET is a user-friendly interactive software designed to compute both unsaturated and saturated infiltration losses from stormwater retention and detention ponds situated in unconfined aquifers, utilizing a modified version of MODFLOW. In addition to its primary function, it offers several distinctive features: it can create single watershed stormwater runoff hydrographs by employing methods such as the SCS unit hydrograph, Rational method, and Santa Barbara urban hydrograph, while also providing a graphical representation of the outcomes. Furthermore, MODRET allows for the routing of these hydrographs—whether generated by the software or sourced from elsewhere—through the infiltration losses of ponds and the creation of infiltration-routed hydrographs. The software also enables users to specify various overflow devices, including weirs and orifices, along with rating curves for the ponds, facilitating the calculations of total volume and peak discharge rates. Additionally, MODRET can generate detailed graphics depicting groundwater elevation cross-sections, complete with ZOOM functionality for enhanced viewing. It also produces XYZ data files, which can be utilized by other applications such as SURFER and AutoCAD to create groundwater contour maps and three-dimensional surfaces, making it a comprehensive tool for hydrological analysis. This versatility makes MODRET an essential program for professionals working in environmental engineering and water resource management.

Elevate your integration capabilities with the most extensive, microservices-oriented, API-centric, and AI-enhanced enterprise iPaaS available. Utilizing the advanced CLAIRE engine, IICS accommodates a wide array of cloud-native integration needs, including data, application, API integration, and Master Data Management (MDM). Our global reach and support for multiple cloud environments extend to major platforms like Microsoft Azure, AWS, Google Cloud Platform, and Snowflake. With unmatched enterprise scalability and a robust security framework backed by numerous certifications, IICS stands as a pillar of trust in the industry. This enterprise iPaaS features a suite of cloud data management solutions designed to boost efficiency while enhancing speed and scalability. Once again, Informatica has been recognized as a Leader in the Gartner 2020 Magic Quadrant for Enterprise iPaaS, reinforcing our commitment to excellence. Experience firsthand insights and testimonials about Informatica Intelligent Cloud Services, and take advantage of our complimentary cloud offerings. Our customers remain our top priority in all facets, including products, services, and support, which is why we've consistently achieved outstanding customer loyalty ratings for over a decade. Join us in redefining integration excellence and discover how we can help transform your business operations.

Boost the pace of AI innovation through cloud-native data integration offered by IBM Cloud Pak for Data. With AI-driven data integration capabilities accessible from anywhere, the effectiveness of your AI and analytics is directly linked to the quality of the data supporting them. Utilizing a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data ensures the delivery of superior data. This solution merges top-tier data integration with DataOps, governance, and analytics within a unified data and AI platform. By automating administrative tasks, it helps in lowering total cost of ownership (TCO). The platform's AI-based design accelerators, along with ready-to-use integrations with DataOps and data science services, significantly hasten AI advancements. Furthermore, its parallelism and multicloud integration capabilities enable the delivery of reliable data on a large scale across diverse hybrid or multicloud settings. Additionally, you can efficiently manage the entire data and analytics lifecycle on the IBM Cloud Pak for Data platform, which encompasses a variety of services such as data science, event messaging, data virtualization, and data warehousing, all bolstered by a parallel engine and automated load balancing features. This comprehensive approach ensures that your organization stays ahead in the rapidly evolving landscape of data and AI.

Adaptive Data Virtualization™ technology empowers businesses to operate their current applications on contemporary cloud data warehouses without the need for extensive modifications or reconfiguration. With Datometry Hyper-Q™, organizations can swiftly embrace new cloud databases, effectively manage ongoing operational costs, and enhance their analytical capabilities to accelerate digital transformation efforts. This virtualization software from Datometry enables any existing application to function on any cloud database, thus facilitating interoperability between applications and databases. Consequently, enterprises can select their preferred cloud database without the necessity of dismantling, rewriting, or replacing their existing applications. Furthermore, it ensures runtime application compatibility by transforming and emulating legacy data warehouse functionalities. This solution can be deployed seamlessly on major cloud platforms like Azure, AWS, and GCP. Additionally, applications can leverage existing JDBC, ODBC, and native connectors without any alterations, ensuring a smooth transition. It also establishes connections with leading cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, broadening the scope for data integration and analysis.

Numerous products are available that assist businesses in this endeavor, but if your main goals are to build a data-driven organization while maximizing efficiency and minimizing costs, the only option worth considering is Fraxses, the leading distributed data platform in the world. Fraxses gives clients on-demand access to data, providing impactful insights through a solution that supports either a data mesh or data fabric architecture. Imagine a data mesh as a framework that overlays various data sources, linking them together and allowing them to operate as a cohesive unit. In contrast to other platforms focused on data integration and virtualization, Fraxses boasts a decentralized architecture that sets it apart. Although Fraxses is fully capable of accommodating traditional data integration methods, the future is leaning towards a novel approach where data is delivered directly to users, eliminating the necessity for a centrally managed data lake or platform. This innovative perspective not only enhances user autonomy but also streamlines data accessibility across the organization.

Oracle's server virtualization offerings are engineered for high efficiency and enhanced performance, catering to both x86 and SPARC architectures while accommodating diverse workloads, including Linux, Windows, and Oracle Solaris. Beyond hypervisor-based solutions, Oracle also provides virtualization that is integrated with hardware and its operating systems, ensuring a comprehensive and finely-tuned solution for your entire computing ecosystem. This combination of flexibility and optimization makes Oracle a compelling choice for organizations looking to streamline their virtualization strategy.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

A true self-service reporting platform and analytics platform will empower your business. Orbit's business intelligence and operational reporting software is powerful and scalable. Users can create their own reports and analytics. Orbit Reporting + Analytics provides pre-built integration with enterprise resources planning (ERP), key cloud business applications, such as Salesforce, Oracle E-Business Suite and PeopleSoft. Orbit allows you to quickly and efficiently discover answers from any data source, identify opportunities, and make data-driven decisions.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

Harness the potential of your data, no matter its location. To truly embrace a data-driven approach, it's essential to utilize the entire range of information within your organization, spanning applications, cloud environments, and various systems. The CONNX data integration solution empowers you to seamlessly access, virtualize, and transfer your data—regardless of its format or location—without altering your foundational systems. Ensure your vital information is positioned effectively to enhance service delivery to your organization, clients, partners, and suppliers. This solution enables you to connect and modernize legacy data sources, transforming them from traditional databases to expansive data environments like Hadoop®, AWS, and Azure®. You can also migrate older systems to the cloud for improved scalability, transitioning from MySQL to Microsoft® Azure® SQL Database, SQL Server® to Amazon REDSHIFT®, or OpenVMS® Rdb to Teradata®, ensuring your data remains agile and accessible across all platforms. By doing so, you can maximize the efficiency and effectiveness of your data utilization strategies.

Clonetab has many options to meet the needs of each site. Although Clonetab's core features will suffice for most site requirements, Clonetab also offers infrastructure to allow you to add custom steps to make it more flexible to meet your specific needs. Clonetab base module for Oracle Databases, eBusiness Suite, and PeopleSoft is available. Normal shell scripts used to perform refreshes can leave sensitive passwords in flat file. They may not have an audit trail to track who does refreshes and for which purpose. This makes it difficult to support these scripts, especially if the person who created them leaves the organization. Clonetab can be used to automate refreshes. Clonetab's features, such as pre, post and random scripts, target instances retention options like dblinks, concurrent processes, and appltop binary copying, allow users to automate most of their refresh steps. These steps can be done once. The tasks can then be scheduled.

Establish federated source data identifiers to allow users to connect to various data sources seamlessly. Utilize a web-based administrative console to streamline the management of user access, privileges, and authorizations for easier oversight. Incorporate data quality enhancements such as match-code generation and parsing functions within the view to ensure high-quality data. Enhance performance through the use of in-memory data caches and efficient scheduling methods. Protect sensitive information with robust data masking and encryption techniques. This approach keeps application queries up-to-date and readily accessible to users while alleviating the burden on operational systems. You can set access permissions at multiple levels, including catalog, schema, table, column, and row, allowing for tailored security measures. The advanced capabilities for data masking and encryption provide the ability to control not just who can see your data but also the specific details they can access, thereby significantly reducing the risk of sensitive information being compromised. Ultimately, these features work together to create a secure and efficient data management environment.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Virtuoso Universal Server represents a cutting-edge platform that leverages established open standards and utilizes Hyperlinks as Super Keys to dismantle data silos that hinder both user engagement and enterprise efficiency. With Virtuoso, users can effortlessly create financial profile knowledge graphs based on near real-time financial activities, significantly lowering the costs and complexity involved in identifying fraudulent behavior patterns. Thanks to its robust, secure, and scalable database management system, it allows for intelligent reasoning and inference to unify fragmented identities through personally identifiable information such as email addresses, phone numbers, social security numbers, and driver's licenses, facilitating the development of effective fraud detection solutions. Additionally, Virtuoso empowers users to craft impactful applications powered by knowledge graphs sourced from diverse life sciences-related data sets, thereby enhancing the overall analytical capabilities in that field. This innovative approach not only streamlines the processes involved in fraud detection but also opens new avenues for data utilization across various sectors.

data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.

Streamline the self-service provisioning and refreshing of enterprise workloads while seamlessly integrating with your current toolchain. Enable efficient data delivery and reutilization for data scientists via a comprehensive suite of APIs and automation tools. Achieve data recovery across any cloud environment from any moment in time, concurrently and at scale, surpassing traditional legacy solutions. Reduce the impact of ransomware and cyber threats by ensuring rapid recovery through immutable backup systems. A consolidated platform enhances the protection, security, retention, governance, and recovery of your data, whether on-premises or in the cloud. Actifio’s innovative software platform transforms isolated data silos into interconnected data pipelines. The Virtual Data Pipeline (VDP) provides comprehensive data management capabilities — adaptable for on-premises, hybrid, or multi-cloud setups, featuring extensive application integration, SLA-driven orchestration, flexible data movement, and robust data immutability and security measures. This holistic approach not only optimizes data handling but also empowers organizations to leverage their data assets more effectively.

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

InfoDrainage offers comprehensive designs for both conventional and eco-friendly drainage systems, along with tailored reports that ensure adherence to local regulations. This tool serves as a complete design and analysis platform for a wide range of professionals, including designers, developers, landscape architects, engineers, consultants, and planners. It guides users from the initial idea to detailed designs that meet approval standards, all within one cohesive package. Users have the flexibility to incorporate both traditional and sustainable elements while optimizing for land utilization, efficiency, and cost-effectiveness. The platform also allows for experimentation through its drag-and-drop feature, enabling quick and easy testing of alternative designs, supported by advanced simulations, vibrant graphics, and comparison reports. InfoDrainage is user-friendly, characterized by intuitive controls and clear visual representations. Additionally, it facilitates data sharing with CAD and GIS systems, effectively reducing design time. The integrated exchange capabilities with InfoDrainage for Civil 3D® support compliance with BIM workflows through Parts Mapping, making it an invaluable tool for modern design projects. Ultimately, this software streamlines the entire process, ensuring that users can achieve their design goals efficiently and effectively.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.