Alternatives to 1Data

EvoluteIQ aims to transform and make digital business accessible for enterprises through the innovative EIQ Platform. Our comprehensive intelligent business automation solution enables organizations to deliver outstanding user experiences by utilizing process orchestration, generative AI, RPA, data and event processing, AI/ML, enterprise connectors, and the development of front-end applications. With a focus on the user experience, our platform allows even those without technical backgrounds to easily implement digital transformation, facilitated by our user-friendly low-code/no-code interface. This enables seamless orchestration across various systems and data sources, incorporating a “human-in-the-loop” approach to manage exceptions effectively. Additionally, our platform integrates process intelligence through its cognitive and decision-modeling features. Users can also connect and manage “data at rest” from diverse origins, such as databases, data lakes, flat files, unstructured documents, and email communications, thereby enhancing their operational efficiency. Ultimately, this empowers organizations to harness the full potential of their data and streamline their processes for better outcomes.

Fivetran is a comprehensive data integration solution designed to centralize and streamline data movement for organizations of all sizes. With more than 700 pre-built connectors, it effortlessly transfers data from SaaS apps, databases, ERPs, and files into data warehouses and lakes, enabling real-time analytics and AI-driven insights. The platform’s scalable pipelines automatically adapt to growing data volumes and business complexity. Leading companies such as Dropbox, JetBlue, Pfizer, and National Australia Bank rely on Fivetran to reduce data ingestion time from weeks to minutes and improve operational efficiency. Fivetran offers strong security compliance with certifications including SOC 1 & 2, GDPR, HIPAA, ISO 27001, PCI DSS, and HITRUST. Users can programmatically create and manage pipelines through its REST API for seamless extensibility. The platform supports governance features like role-based access controls and integrates with transformation tools like dbt Labs. Fivetran helps organizations innovate by providing reliable, secure, and automated data pipelines tailored to their evolving needs.

Streamline fragmented systems and eliminate data silos by empowering your teams to create sophisticated applications, automate workflows, and construct data pipelines effectively. Quickly automate intricate business processes across various applications in mere minutes. Develop and launch both customer-facing and internal applications effortlessly. Take advantage of an extensive selection of pre-built rich components to enhance your projects. Ensure enterprise-grade security and governance while benefiting from robust debugging and change management capabilities. Accelerate the development of enterprise-grade applications by tenfold without the need for coding. Leverage powerful reliability features, including caching, rate limiting, and circuit breakers. Create custom integrations in less than a day using the connector SDK, facilitating seamless connections. Achieve real-time data replication from any source to desired destination systems, making it easy to transfer data across applications, data warehouses, or data lakes. Additionally, enable preload transformations and automated schema mapping to streamline your data processes further. This approach ensures that your organization can respond to challenges with agility and efficiency.

For contemporary leaders, embracing innovation and making daring choices is essential; however, the increasing complexity of systems has made critical data more elusive, hindering timely decision-making. Edify streamlines the management of higher education data by combining robust data warehousing technology with user-friendly analytics tools, offering a comprehensive solution to enhance digital excellence across campuses. Featuring a cloud-native, secure, and infinitely scalable data lake alongside a higher education data warehouse, Edify effectively supports vital institutional data initiatives. With the ability to ingest data through an extensive collection of pre-built connectors or custom extractions, Edify empowers teams to adopt best-practice rules and validations for education data management, ensuring a reliable single source of truth. At its foundation, Edify utilizes a transparent and education-focused data model that caters specifically to the needs of higher education. Additionally, Edify’s data governance tools are designed to maintain organization and accuracy within your data, ensuring that institutions can rely on well-structured information to drive their strategic goals. This comprehensive approach not only enhances data accessibility but also encourages informed decision-making across the institution.

Irion EDM offers a comprehensive, agile, and accountable approach that is ready for data fabric integration. By optimizing costs and leveraging SQL expertise, it provides an open, scalable, and effective framework based on the groundbreaking "declarative" model for managing your entire data lifecycle. You can easily set up your data pipeline to gather, manage, and transform information from various sources such as databases, applications, social media, and APIs. Furthermore, it allows for seamless access to all information without the necessity for specialized extraction or normalization tools. The platform includes an intuitive user editor that simplifies the configuration of business rules, enabling you to classify, enhance, and control all your data while creating a unified, centralized dictionary of data and rules. Users can visualize the outcomes of their data processing, including operational metrics, control statistics, and key performance indicators, through a versatile web dashboard with multiple templates. Additionally, you can define the publication model to select which data assets to share and in what manner, all while entrusting the system with the execution of various processes and intermediary steps, ensuring efficiency and reliability throughout your data management activities. This level of automation and user-friendliness positions Irion EDM as a leading solution for modern data management challenges.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

DataWise is a specialized solution designed specifically for the modernization of SAP data. It effectively connects SAP systems, whether ECC or S/4HANA, with the Databricks Lakehouse, facilitating the conversion of isolated operational data into a reliable and analytics-ready platform that supports real-time decision-making and fosters AI advancements. By utilizing SAP-native connectors and offering prebuilt models for various modules such as SD, MM, PM, Finance, Ariba, and SuccessFactors, DataWise significantly enhances value. It employs automated ELT pipelines to transfer data into Delta Lake, while its MatchX AI-driven data quality engine ensures data cleansing, standardization, deduplication, and entity matching, thereby improving data accuracy and completeness on a large scale. Comprehensive governance is maintained throughout the process via Unity Catalog, which implements fine-grained access controls and tracks data lineage. After the data has been standardized and governed, DataWise enables seamless activation of your SAP data across business intelligence dashboards, machine learning functionalities, and event-driven workflows, all without interfering with your core ERP operations. This innovative approach not only streamlines data accessibility but also empowers organizations to leverage their SAP data for enhanced insights and decision-making.

ContinuumCore serves as the dashboarding platform for Continuum Health. When utilized alongside Intellium, it opens up comprehensive access to a flexible datamart. As the requirements and data landscape shift, ContinuumCore adapts accordingly, ensuring that clients can continuously leverage fully-optimized data management solutions. With the integration of over 100 connectors into a unified data warehouse and the regular addition of new data connectors, ContinuumCore simplifies access to all clinical and financial information while minimizing the impact on source systems in a controlled and planned manner. Users can categorize their data by topics for streamlined usage. Moreover, the platform offers agnostic data that facilitates smooth querying across various sources, complemented by dictionary-based data documentation that provides clear definitions for quick understanding and efficient searches. ContinuumCore employs data normalization to unify values and utilizes data validation techniques to identify issues. Additionally, it includes tools for data enhancement, well-defined processes, and customizable report builders to meet diverse analytical needs. Overall, ContinuumCore stands out as a comprehensive solution that meets the evolving demands of modern healthcare data management.

PiLog stands out as a premier provider of Master Data Quality Solutions, catering to various master data domains across multiple industries. Their innovative solutions prioritize establishing a shared business language while effectively managing the guidelines for producing high-quality, multilingual descriptions tailored to client needs. With over two decades of dedicated research, development, and execution, PiLog offers unique technical dictionary content that enhances data quality. Known as The Master Data Experts, the PiLog team has successfully cleansed tens of millions of records, leading to significant cost savings for their clients. By eliminating duplicate inventory and spare parts, reducing free-text expenses, and optimizing spend analysis through accurate item and service classification, PiLog has proven its value in the market. Their commitment to excellence ensures that clients not only achieve better data management but also realize substantial financial benefits.

MovingLake offers cutting-edge real-time data connectors tailored for sectors like infrastructure, hospitality, and e-commerce. Utilize these API connectors to seamlessly power your data warehouse, databases, and data lakes, along with your microservices, ensuring uniform data across all platforms. Accelerate your decision-making process with data insights by leveraging MovingLake's innovative solutions!

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

The OpsVeda Operations Management System operates on a platform that is enhanced with artificial intelligence and automation capabilities. This innovative platform employs sophisticated algorithms and established rules to continuously track business events, providing real-time alerts to users regarding potential risks and opportunities that relate to customer interactions and financial performance. Serving as the backbone of the OpsVeda Solution Factory, it offers businesses a swift and low-risk avenue to leverage the advantages of an Operational Intelligence solution. With straightforward configuration options, the system can seamlessly ingest data from diverse sources such as data lakes and reports, equipping users with a broad array of insights, recommendations, and notifications in no time. Furthermore, it supports the deployment of event-driven real-time connectors and readily available integrations to gather data from external providers. Ensuring the security of data within OpsVeda adheres to the latest industry standards for user protection and encryption throughout all stages of processing. The system is designed to scale efficiently regardless of data volume and offers the necessary elasticity to accommodate fluctuations during peak seasons. Additionally, this adaptability makes it an ideal choice for businesses looking to optimize their operational efficiency.

Infor's Internet of Things (IoT) platform facilitates the secure collection of sensor data from any location, handling it effectively at scale. By integrating this sensor data with the information from Infor CloudSuite™ EAM, users gain enhanced insights into asset health monitoring. This enriched context significantly improves the ability to detect exceptions, streamline workflows, enhance reporting, and utilize data analytics alongside machine learning techniques. The sensor data collected through Infor IoT is stored within the Infor Data Lake, opening up extensive opportunities for more comprehensive IoT data utilization. Additionally, device data can be supplemented with various attributes and metadata, which enhances search capabilities and device management functionalities. Users can monitor telemetry in almost real-time through a sophisticated rule engine, while device templates simplify the setup and onboarding processes. The architecture of the portal is designed with scalability in mind, and it includes a versatile rule editor for conditions and actions, enabling tailored automation and responsiveness. Overall, Infor IoT presents a robust solution for managing and analyzing Internet of Things data efficiently.

Monad serves as a comprehensive security data cloud platform that simplifies the processes of extracting, transforming, and loading (ETL) data from a variety of security tools into a cohesive data warehouse. This platform empowers security teams to efficiently export data from their existing tools, customize it into tailored data models, and seamlessly deliver it to their data warehouses, thereby enabling smooth integration and deeper analysis. Additionally, it provides capabilities for security, DevOps, and cloud engineering teams to engage with data using SQL and business intelligence tools, which improves their effectiveness in normalizing, transforming, and enriching data to enhance security and compliance results. With its intuitive interface and robust enterprise-grade connectors, Monad makes it easy to establish a security data lake, assisting organizations in breaking down data silos and gaining valuable insights and analytics that contribute to effective security management. The ability to unify disparate data sources fosters a more holistic view of security metrics, ultimately leading to more informed decision-making and proactive risk management.

Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and other data storages. Dataddo offers three main products: - Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google Data Studio for insights in record time. A free version is available for this product! - Data Anywhere, which enables users to send data from any A to any B—from apps to warehouses or dashboards (ETL, end to end), between warehouses (ETL), and from warehouses back into apps (reverse ETL). - Headless Data Integration, which allows enterprises to build their own data products on top of the unified Dataddo API and get all integrations in one. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. The platform is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001. From the first log-in to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.

There are various strategies to reduce costs within an IT department, but one of the most effective and insightful approaches is to enhance employee productivity. By adopting streamlined work practices, organizations can ensure ongoing savings and improvements. Kal Admin is an essential tool utilized by numerous Analysts, Developers, QAs, and DBAs within Israel's public sector. The software features a Data Dictionary, which serves as a central repository for Business Analysts to document the definitions and descriptions of data elements crucial for fulfilling user requirements, and it also accommodates business terminology. This Dictionary plays a vital role in the subsequent development of database tables. With Kal Admin, users can outline tables without needing to create them in the database immediately, as the columns are specified through the Data Dictionary. Once these defined tables successfully clear quality assurance checks, they can be constructed in the database with just a single click, greatly simplifying the process. Ultimately, this efficiency not only reduces costs but also enhances overall project delivery in the IT sector.

ibi Data Intelligence serves as an all-encompassing data management platform that fuses application and data integration, transformation, and quality improvement into one cohesive system. This solution empowers organizations to effortlessly link various data sources, guaranteeing that information remains accurate, consistent, and current throughout all business functions. By unifying data management resources, ibi Data Intelligence streamlines IT operations, cuts down on operational expenses, and removes data silos, thereby offering a holistic view of business processes. The platform is designed to accommodate low-code and no-code approaches, enhancing workflow efficiency and increasing productivity, which promotes effective collaboration and a faster realization of value. Among its key features are comprehensive data quality assessments, validation, cleansing, enrichment, and smooth application integration through messaging systems and automated workflows. With these capabilities, organizations can not only enhance their business agility but also adhere to compliance standards established by their policies, ultimately fostering a more responsive and adaptable enterprise environment.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

Data cleansing, migration, integration, and reconciliation can occur seamlessly between cloud environments and on-premise systems. Operating on OCI, it provides secure connectivity to Oracle Enterprise Applications whether hosted in the cloud or on-premises. This unified platform facilitates data and setup migrations, integrations, reconciliations, big data ingestion, and archival processes. It boasts over 9,000 pre-built API templates and web services for enhanced functionality. The data quality engine incorporates pre-configured business rules to efficiently profile, clean, enrich, and correct data, ensuring high standards are maintained. With its configurable, agile design, it supports both low-code and no-code environments, allowing for immediate utilization in a fully cloud-enabled context. This migration platform is specifically designed for transferring data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and numerous other enterprise applications, accommodating a range of legacy systems as well. Its robust and scalable framework is complemented by a user-friendly interface, while more than 3,000 Smart Data Adapters are available, providing comprehensive coverage for various Oracle Applications and enhancing the overall migration experience.

ibi Data Migrator is a sophisticated ETL (Extract, Transform, Load) solution aimed at optimizing data integration across a variety of platforms, ranging from local systems to cloud solutions. It automates the creation of data warehouses and data marts, providing seamless access to source data in different formats and operating systems. The platform consolidates various data sources into one or more targets while implementing stringent data cleansing rules to maintain data integrity. Users can utilize specialized high-volume data warehouse loaders to schedule updates based on customizable intervals, which can be activated by specific events or conditions. Additionally, it supports the loading of star schemas that include slowly changing dimensions and features comprehensive logging and transaction statistics for better visibility into data processes. The intuitive graphical user interface, known as the data management console, enables users to design, test, and execute their data flows effectively. Overall, ibi Data Migrator enhances operational efficiency by simplifying complex data integration tasks.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

With Rupert's no-code custom alerts, you can easily discover actionable insights, anomalies, or exceptions that matter to you and send them straight to Slack. Take advantage of your data warehouse or BI dashboards by utilizing Rupert's adaptable, no-code monitoring and alerting solutions. In just a few minutes, you can establish monitoring for any metric or event that interests you. By employing dynamic thresholds, you can combine various rules to create more impactful alerts tailored to your needs. Furthermore, you can refine alerts by using breakdowns and filters to achieve the desired level of detail or data segmentation. Select from a variety of options such as period-over-period comparisons, moving averages, anomaly detection, and more from our extensive no-code trigger library. Recipients will receive complete context on alerts, as you can easily include additional data from your warehouse alongside the monitored metric or event. You also have the capability to embed programmable action buttons within alerts, allowing you to create custom URLs or utilize native integrations with platforms like Jira and Salesforce. This comprehensive approach ensures that your alerts are not only informative but also actionable, driving better decision-making.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

Infometry's Google Connectors facilitate the seamless integration of Google Applications with Informatica Cloud IDMC, previously recognized as IICS. Their Google Sheets Connectors are fully certified by Informatica and offer native interfaces for users. By utilizing Infometry's Connectors, organizations can achieve smooth integration and access real-time data analytics. The Google Connector for Informatica simplifies application integration, data extraction for downstream systems, and ETL processes for Enterprise Data Warehouses. Customers who utilize Informatica Cloud Connectors often store various datasets in Google Sheets, including Sales Forecasts, Goals, Product Master records, SKU data, Lab Results, Headcount estimates, and OpEx Budgets, which all need to be efficiently transferred to Enterprise Data Warehouses, Cloud Applications, and Data Lakes. Infometry developed a Google Sheet connector that leverages Informatica’s native interface, encompassing comprehensive API operations such as reading, writing, updating, deleting, and searching among other functionalities, ensuring a robust solution for data management needs. This integration empowers businesses to leverage their existing data in Google Sheets for enhanced analytics and decision-making capabilities.

Qlik Compose for Data Warehouses offers a contemporary solution that streamlines and enhances the process of establishing and managing data warehouses. This tool not only automates the design of the warehouse but also generates ETL code and implements updates swiftly, all while adhering to established best practices and reliable design frameworks. By utilizing Qlik Compose for Data Warehouses, organizations can significantly cut down on the time, expense, and risk associated with BI initiatives, regardless of whether they are deployed on-premises or in the cloud. On the other hand, Qlik Compose for Data Lakes simplifies the creation of analytics-ready datasets by automating data pipeline processes. By handling data ingestion, schema setup, and ongoing updates, companies can achieve a quicker return on investment from their data lake resources, further enhancing their data strategy. Ultimately, these tools empower organizations to maximize their data potential efficiently.

TrialPoint™ electronic data capture (EDC) is highly adaptable and user-friendly, earning the approval of coordinators everywhere. Our skilled data managers specialize in transforming clinical protocols into accessible metadata dictionaries, ensuring that TrialPoint™ is tailored to your needs rather than hindering your processes. The platform is capable of accommodating any randomization string, media uploads, or coding dictionaries, and it has the functionality to obscure treatment assignments from users. To enhance timely data collection, the system proactively determines visit windows and dispatches alerts and reminders, helping to keep the entire team aligned and on track. In the current landscape, incorporating patient-reported health outcomes and quality of life questionnaires is common in clinical trials, often leading to protocol adherence challenges. Explore TrialPoint's electronic patient-reported outcomes (ePRO) module, which can be customized to accommodate any quality of life questionnaire or patient diary, providing a seamless experience for participants. Ultimately, this flexibility not only facilitates compliance but also enhances the overall quality of the data collected in clinical trials.

Collate is a metadata platform powered by AI that equips data teams with automated tools for discovery, observability, quality, and governance, utilizing agent-based workflows for efficiency. It is constructed on the foundation of OpenMetadata and features a cohesive metadata graph, providing over 90 seamless connectors for gathering metadata from various sources like databases, data warehouses, BI tools, and data pipelines. This platform not only offers detailed column-level lineage and data profiling but also implements no-code quality tests to ensure data integrity. The AI agents play a crucial role in streamlining processes such as data discovery, permission-sensitive querying, alert notifications, and incident management workflows on a large scale. Furthermore, the platform includes real-time dashboards, interactive analyses, and a shared business glossary that cater to both technical and non-technical users, facilitating the management of high-quality data assets. Additionally, its continuous monitoring and governance automation help uphold compliance with regulations such as GDPR and CCPA, which significantly minimizes the time taken to resolve data-related issues and reduces the overall cost of ownership. This comprehensive approach to data management not only enhances operational efficiency but also fosters a culture of data stewardship across the organization.

5X is a comprehensive data management platform that consolidates all the necessary tools for centralizing, cleaning, modeling, and analyzing your data. With its user-friendly design, 5X seamlessly integrates with more than 500 data sources, allowing for smooth and continuous data flow across various systems through both pre-built and custom connectors. The platform features a wide array of functions, including ingestion, data warehousing, modeling, orchestration, and business intelligence, all presented within an intuitive interface. It efficiently manages diverse data movements from SaaS applications, databases, ERPs, and files, ensuring that data is automatically and securely transferred to data warehouses and lakes. Security is a top priority for 5X, as it encrypts data at the source and identifies personally identifiable information, applying encryption at the column level to safeguard sensitive data. Additionally, the platform is engineered to lower the total cost of ownership by 30% when compared to developing a custom solution, thereby boosting productivity through a single interface that enables the construction of complete data pipelines from start to finish. This makes 5X an ideal choice for businesses aiming to streamline their data processes effectively.

Discover a comprehensive platform designed for researching, documenting, and organizing your clinical data seamlessly. The Nucleus platform streamlines your research data management, providing a unified space for storing study documentation, clinical datasets, submission materials, and compliant media. With Nucleus Documents, you can efficiently manage documents and maintain version control for your quality documentation and media assets. Easily oversee, manage, and share your organizational content without hassle. Additionally, effortlessly compile and regulate your electronic trial master file documents through our centralized regulatory document management system. Nucleus Coding facilitates dictionary term coding for both MedDRA and WHODrug dictionaries, available as a standalone application or integrated within your data capture system, ensuring flexibility and efficiency in your coding processes. This comprehensive solution not only enhances data integrity but also optimizes collaboration across your research teams.

Arovy redefines Salesforce governance, security, and visibility by combining automation, AI, and actionable insights into one unified platform. Built for modern Salesforce teams, it provides complete transparency into data, integrations, and configuration dependencies—helping users scope projects confidently and reduce operational risk. Its data dictionary, impact analysis, and change tracking tools simplify complex ecosystems while ensuring compliance and audit readiness. With real-time monitoring of APIs, users, and connected apps, Arovy instantly detects outages, unusual activity, and access changes across the organization. The platform’s intelligent threat detection and mitigation engine proactively identifies risks and suggests resolutions before they affect business continuity. Designed for speed and scalability, it supports enterprises managing hundreds of thousands of Salesforce users and millions of API calls. Arovy’s AI-powered analytics help teams uncover inefficiencies, reduce tech debt, and optimize Shield implementation with clarity and precision. Trusted by financial institutions, SaaS providers, and large enterprises, Arovy is the backbone of secure, efficient, and future-ready Salesforce operations.

Astera ReportMiner, a data extraction platform, provides users with a complete solution to data integration and ingestion. ReportMiner allows users to extract business data from TXT, PDF, and DOC files. ReportMiner offers business rules-based data quality assurance, data cleansing, transformation, and loading into a variety of databases platforms.

The L7 Enterprise Science Platform (L7|ESP®) is a comprehensive platform designed to contextualize data and remove business silos through process orchestration. This all-in-one solution supports the digitalization of data and scientific processes within life sciences organizations. It includes native applications like L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. L7|ESP seamlessly integrates with third-party applications, lab instruments, and devices to consolidate all data into a unified model. Featuring a low-code/no-code workflow designer and numerous pre-built connectors, it ensures rapid implementation and full automation. Utilizing a single data model, L7|ESP enhances advanced bioinformatics, AI, and ML to provide new scientific and operational insights. L7|ESP addresses the data and lab management needs and challenges within the life sciences sector, specifically targeting: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Explore the L7 Resource Center for on-demand recordings, case studies, datasheets, and more: l7informatics dot com/resource-center

Cloudera DataFlow for the Public Cloud (CDF-PC) is a versatile, cloud-based data distribution solution that utilizes Apache NiFi, enabling developers to seamlessly connect to diverse data sources with varying structures, process that data, and deliver it to a wide array of destinations. This platform features a flow-oriented low-code development approach that closely matches the preferences of developers when creating, developing, and testing their data distribution pipelines. CDF-PC boasts an extensive library of over 400 connectors and processors that cater to a broad spectrum of hybrid cloud services, including data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring efficient and flexible data distribution. Furthermore, the data flows created can be version-controlled within a catalog, allowing operators to easily manage deployments across different runtimes, thereby enhancing operational efficiency and simplifying the deployment process. Ultimately, CDF-PC empowers organizations to harness their data effectively, promoting innovation and agility in data management.

Information and records are stored in many locations throughout the enterprise, making it difficult for compliance to manage these content. Gimmal Records saves you money and time by streaming your records to a data pool. You can transform your existing infrastructure into a comprehensive record management system without having to move content. You can ensure that records are managed according the appropriate retention schedules, and disposed off in a compliant way. With a central dashboard, you can view and control information in any repository. Gimmal Records works independently of repositories, and relies on connectors to manage information. You can set up triggers and rules to ensure that information follows the correct lifecycle. No matter where information lives, ensure that policies are followed.

DataTools for Salesforce offers comprehensive management of metrics and metadata, facilitating collaboration between Salesforce experts and data cloud professionals. It not only supports the fundamental metadata and metrics of your Salesforce organization but also supplies contextual data that aids in the implementation of a contemporary customer data cloud. Our specially designed Salesforce dictionary utility enhances reporting capabilities and promotes insightful analysis. This tool allows you to identify and classify key fields while prioritizing vital metrics to enhance the value of your metadata. Discover the relationships between Salesforce objects with the help of intuitive color coding, and manage your Salesforce entity relationship diagram with ease. You can quickly select the necessary objects from your dictionary and generate your Salesforce ERD with a single click. Additionally, our Salesforce data migration tool streamlines both process and project management, ensuring a smooth transition for your data. This integrated approach helps organizations maximize their efficiency and effectiveness in utilizing Salesforce data.

Landis + Gyr’s Gridstream Meter Data Management System (Core MDMS) is designed to validate, manage, and oversee data collected from advanced meters and smart grid devices, while also storing essential customer and meter metadata along with usage and diagnostic information that fuels analytics and operational workflows. It incorporates Validation, Estimation, and Editing (VEE) protocols to maintain data accuracy, ensuring that any irregular readings are either flagged for review or estimated appropriately, while its virtual metering features facilitate the calculation of aggregated and net energy for renewable energy initiatives. The system accurately supports various rate structures through billing determinants that utilize both measured and calculated data values. Event administration and exception management address flags and validation discrepancies that cannot be resolved automatically through VEE protocols. Additionally, workflow orchestration effectively manages interconnected transactions with comprehensive tracking and reporting capabilities, while automated group management allows for collective actions based on device technology, rate class, or geographic location, streamlining operations even further. This comprehensive approach ensures that businesses can efficiently harness the power of their data to drive informed decision-making.

Organizations today handle vast amounts of data and face a growing need to share this information with business partners, government entities, and internal teams. IQDox has been specifically developed to streamline this intricate process through the use of connectors, wizards, and an extensive array of both technical and industry standards. Why not give it a try and see the benefits for yourself? The main goal of IQDox is to automate the interactions between your business and its partners by utilizing EDI, APIs, or various data formats like XLS and CSV. IQDox empowers you to create and implement workflows that seamlessly link your business partners to your organizational operations and processes. Each workflow can be tailored using a variety of connectors and process components, which can be combined following specific business rules, ensuring that your data exchange is both efficient and effective. With this tool, managing data collaborations can become far less daunting and more productive.

Match Data Pro is a sophisticated tool for managing data quality that aims to integrate, cleanse, analyze, match, eliminate duplicates, and consolidate records from various files, databases, and systems with remarkable efficiency and accuracy. It features cutting-edge AI-enabled fuzzy matching and adjustable rule-based logic to identify duplicates and inconsistencies within extensive datasets, assisting users in correcting errors, standardizing formats, and generating trustworthy golden records without the need for coding expertise. The tool also offers extensive data profiling with essential metrics to identify quality concerns prior to processing, robust data cleansing functionalities for normalizing and standardizing information, along with address verification features that enhance accuracy. Furthermore, Match Data Pro is equipped with Senzing AI entity resolution and customizable matching algorithms to accommodate minor data variations, ensuring high-performance processing capable of scaling up to millions of records. Additionally, it facilitates project job automation through scheduling, reusable rules, and seamless API integrations, making it a comprehensive solution for effective data management.

Fortanix Confidential AI presents a comprehensive platform that allows data teams to handle sensitive datasets and deploy AI/ML models exclusively within secure computing environments, integrating managed infrastructure, software, and workflow orchestration to uphold privacy compliance across organizations. This service features on-demand infrastructure driven by the high-performance Intel Ice Lake third-generation scalable Xeon processors, enabling the execution of AI frameworks within Intel SGX and other enclave technologies while ensuring no external visibility. Moreover, it offers hardware-backed execution proofs and comprehensive audit logs to meet rigorous regulatory standards, safeguarding every aspect of the MLOps pipeline, from data ingestion through Amazon S3 connectors or local uploads to model training, inference, and fine-tuning, while also ensuring compatibility across a wide range of models. By leveraging this platform, organizations can significantly enhance their ability to manage sensitive information responsibly while advancing their AI initiatives.

Creating real-time applications and services involves numerous components that must work seamlessly together, including Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD processes, persistent storage, databases, and beyond. The Quix platform simplifies this complexity by managing all these elements for you. You simply connect your data and begin your development process—it's that straightforward. There's no need to set up clusters or manage resource configurations. With Quix connectors, you can easily ingest transaction messages from your financial processing systems, whether they are hosted in a virtual private cloud or an on-premises data center. All data is securely encrypted during transit, and it is compressed using G-Zip and Protobuf to enhance both security and efficiency. Additionally, you can utilize machine learning models or rule-based algorithms to identify fraudulent patterns. The platform allows you to generate fraud warning notifications that can be used as troubleshooting tickets or presented on support dashboards for easy monitoring. Ultimately, Quix streamlines the development process, letting you focus on building rather than managing infrastructure.

Data Warehouse Studio empowers software architects, data modelers, and business analysts to play a direct role in the successful execution of data warehouse and business intelligence initiatives. Through its user-friendly graphical interface, these professionals can articulate business rules, data mappings, preferred coding standards, and various design components. Once these key requirements and technical specifications are input into the central repository of Data Warehouse Studio, the platform autonomously produces 99-100% of the necessary SQL and ETL code, thereby removing the necessity for manual coding. In fact, for the majority of projects, Data Warehouse Studio entirely eradicates the requirement for hand-coding SQL or ETL processes. As a design-time technology, Data Warehouse Studio offers a unified platform that facilitates all participants in the project to efficiently document requirements and technical specifications. This collaborative feature enhances communication among team members, streamlining the overall development process.

Introducing a unique cloud data lakehouse that is entirely managed and capable of ingesting data from all your sources within minutes, while seamlessly accommodating every query engine at scale, all at a significantly reduced cost. This platform enables ingestion from both databases and event streams at terabyte scale in near real-time, offering the ease of fully managed pipelines. Furthermore, you can execute queries using any engine, catering to diverse needs such as business intelligence, real-time analytics, and AI/ML applications. By adopting this solution, you can reduce your expenses by over 50% compared to traditional cloud data warehouses and ETL tools, thanks to straightforward usage-based pricing. Deployment is swift, taking just minutes, without the burden of engineering overhead, thanks to a fully managed and highly optimized cloud service. Consolidate your data into a single source of truth, eliminating the necessity of duplicating data across various warehouses and lakes. Select the appropriate table format for each task, benefitting from seamless interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Additionally, quickly set up managed pipelines for change data capture (CDC) and streaming ingestion, ensuring that your data architecture is both agile and efficient. This innovative approach not only streamlines your data processes but also enhances decision-making capabilities across your organization.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.