Alternatives to Fraxses

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

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.

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

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

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.

data.world is a fully managed cloud service that was built for modern data architectures. We handle all updates, migrations, maintenance. It is easy to set up with our large and growing network of pre-built integrations, including all the major cloud data warehouses. Your team must solve real business problems and not struggle with complicated data software when time-to value is important. data.world makes it simple for everyone, not just the "data people", to get clear, precise, and fast answers to any business question. Our cloud-native data catalog maps siloed, distributed data to consistent business concepts, creating an unified body of knowledge that anyone can understand, use, and find. Data.world is the home of the largest open data community in the world. It is where people come together to work on everything, from data journalism to social bot detection.

Avalor’s data fabric allows security teams to make more accurate and faster decisions. Our data fabric architecture integrates disparate sources of data from legacy systems, data lake, data warehouses and sql databases to provide a holistic view on business performance. The data fabric powers the platform and provides automation, 2-way synchronization, alerts, analytics, and alerts. All security functions can benefit from the accurate, fast, and reliable analysis of enterprise data, including asset coverage, ROSI analysis and vulnerability management. The average security team uses many different tools and products. Each has its own purpose, taxonomy and output. It's difficult to prioritize your efforts with so much disparate information. Use data from your entire organization to quickly and accurately answer questions from the business.

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.

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.

Cinchy is the first enterprise-focused data collaboration platform. Cinchy is used by highly-regulated organizations such as banks, credit unions, insurers, and insurance companies to deliver hundreds new technologies, including customer experiences, workflows and advanced analytics, in half the time. Our network-based architecture allows our customers to have full control over their data, which results in the largest shift in enterprise technology delivery since 1979. Cinchy is the first autonomous data fabric in the world. Cinchy's data-centric architecture, inspired by the human brain makes data silos and integration obsolete. It manages data as a network. Cinchy is being used by some of the most complex organizations (including highly-regulated financial institutions), to accelerate and de-risk the transformation from app-centric to a data-centric organization. This allows for real agility.

More data sources, more silos and more complexity mean more change. Data architectures are often challenged to keep up with the times. This is a problem for data-driven organizations today and can put your business at risk. A data fabric is a modern distributed architecture that uses shared data assets and optimized pipelines to address data challenges. Optimized data management and integrated capabilities that allow you to intelligently simplify, automate and accelerate your data pipelines. It's easy to deploy and adapt a distributed data architecture that suits your complex, constantly changing technology landscape. Accelerate time-to-value by unlocking your distributed cloud, hybrid, and on-premises data and delivering it where it's needed at your business's pace.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Oracle Data Service Integrator allows companies to quickly create and manage federated services that allow access to single views of disparate data. Oracle Data Service Integrator is fully standards-based and declarative. It also allows for re-usability. Oracle Data Service Integrator supports bidirectional (read/write) data services creation from multiple data sources. Oracle Data Service Integrator also offers the unique capability to eliminate coding by graphically modeling simple and complex updates from heterogeneous sources. Data Service Integrator is easy to use: install, verify, uninstall and upgrade. Oracle Data Service Integrator was previously known as Liquid Data (ALDSP) and AquaLogic Data Services Platform. Some of the original names are still used in the product, installation path and components.

Cloud-native data integration with IBM Cloud Pak data enables you to accelerate AI innovation AI-powered data integration from anywhere. Your AI and analytics can only be as good as the data they are powered by. IBM®, DataStage®, for IBM Cloud Pak®, for Data provides high-quality data through a container-based architecture. It combines industry-leading data integration, DataOps, governance, and analytics on one data and AI platform. Automation speeds up administrative tasks, helping to reduce TCO. AI-based design accelerators, out-of-the box integration with DataOps or data science services accelerate AI innovation. Multicloud integration and parallelism allow you to deliver trusted data across hybrid and multicloud environments. The IBM Cloud Pak for Data platform allows you to manage the data and analytics lifecycle. Data science, event messaging, and data warehousing are some of the services offered. Automated load balancing and parallel engine.

The industry's most comprehensive, API-driven, microservices-based, AI-powered enterprise iPaaS is here to help you go beyond the table. IICS is powered by the CLAIRE engine and supports any cloud-native patterns, including data, applications, API integration, MDM, and API integration. Our multi-cloud support and global distribution covers Microsoft Azure, AWS and Google Cloud Platform. Snowflake is also included. IICS has the industry's highest trust and enterprise scale, as well as the industry's highest security certifications. Our enterprise iPaaS offers multiple cloud data management products that can be used to increase productivity, speed up scaling, and increase efficiency. Informatica is a Leader in the Gartner 2020 Magic Quadrant Enterprise iPaaS. Informatica Intelligent Cloud Services reviews and real-world insights are available. Get our cloud services for free. Customers are our number one priority, across products, services, support, and everything in between. We have been able to earn top marks in customer loyalty 12 years running.

The Vexata VX-100F unlocks NVMe over fabric (NVMe-oF), to deliver revolutionary economics and transformative performances. Vexata architecture eliminates excess latency from storage controllers to deliver consistent high performance at scale to speed up application response times. Vexata Accelerated data architecture delivers faster response times and more throughput for real-time analytics that require heavy data ingest. Vexata breaks down the traditional cost/performance barriers with a scalable solid-state storage platform that accelerates analytics and applications. VX-Cloud is a software-defined solution that supports all Machine Learning stages. It can support cognitive and AI workloads, as well as Cloud scale and economics.

AtScale accelerates and simplifies business intelligence. This results in better business decisions and a faster time to insight. Reduce repetitive data engineering tasks such as maintaining, curating, and delivering data for analysis. To ensure consistent KPI reporting across BI tools, you can define business definitions in one place. You can speed up the time it takes to gain insight from data and also manage cloud compute costs efficiently. No matter where your data is located, you can leverage existing data security policies to perform data analytics. AtScale's Insights models and workbooks allow you to perform Cloud OLAP multidimensional analysis using data sets from multiple providers - without any data prep or engineering. To help you quickly gain insights that you can use to make business decisions, we provide easy-to-use dimensions and measures.

Fabric allows you to quickly and seamlessly connect your modern IT ecosystem to your core mission-critical data systems and transaction systems. Our IT systems reflect our complex world. CIOs are often left with a level or more of system complexity that is difficult to manage after years, decades, or even decades, of market changes, technology shifts and mergers & acquisitions. This complexity not only takes up a large portion of IT budgets but also leaves IT organizations struggling with the real-time business needs. This complexity is not something that can be eliminated overnight. However, Adaptigent's Adaptive Integration Fabric will protect your business from the complexity in your mission-critical data sources. It will allow you to unlock the full potential your legacy systems, which form the backbone of your company, by protecting your business from them.

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.

Varada's adaptive and dynamic big data indexing solution allows you to balance cost and performance with zero data-ops. Varada's big data indexing technology is a smart acceleration layer for your data lake. It remains the single source and truth and runs in the customer's cloud environment (VPC). Varada allows data teams to democratize data. It allows them to operationalize the entire data lake and ensures interactive performance without the need for data to be moved, modelled, or manually optimized. Our ability to dynamically and automatically index relevant data at the source structure and granularity is our secret sauce. Varada allows any query to meet constantly changing performance and concurrency requirements of users and analytics API calls. It also keeps costs predictable and under control. The platform automatically determines which queries to speed up and which data to index. Varada adjusts the cluster elastically to meet demand and optimize performance and cost.

Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.

Cloud environments can be quickly set up for quick development, testing, and productivity for your IT staff and business users. Comprehensive data governance for business users will reduce the risks and cost of maintaining your data lakes. You can save money by providing consistent, timely, and clean information for your data lakes, big data projects, and data warehouses. Also, consolidate applications and retire outdated databases. Automatic schema propagation can be used to accelerate job generation, type-ahead searching, and backwards capabilities. All this while designing once and executing everywhere. With a cognitive design that recognizes patterns and suggests ways to use them, you can create data integration flows and enforce quality rules and data governance. You can improve visibility and information governance by creating authoritative views of information that are complete and authoritative.

A data virtualization solution for enterprise data that allows access to multiple data sources and delivers the data and IT-curated data services foundation needed for almost any solution. The TIBCO®, Data Virtualization system is a modern data layer that addresses the changing needs of companies with mature architectures. Eliminate bottlenecks, enable consistency and reuse, and provide all data on demand in a single logical level that is governed, secure and serves a diverse user community. You can access all data immediately to develop actionable insights and take immediate action. Users feel empowered because they can search and select from a self service directory of virtualized business information and then use their favorite analytical tools to get results. They can spend more time analysing data and less time searching.

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 Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.

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.

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.

Arundo Enterprise is a flexible, modular software suite that creates data products for people. We connect live data with machine learning and other analytic models, and model outputs are used to make business decisions. Arundo Edge Agent allows industrial connectivity and analytics in remote, rugged, and disconnected environments. Arundo Composer allows data analysts to quickly and easily deploy desktop-based models into the Arundo Fabric Cloud environment using a single command. Composer allows companies to create and manage data streams and integrate them with their deployed data models. Arundo Fabric, a cloud-based hub that deploys machine learning models, data streams and edge agent management, is Arundo Fabric. It also allows for quick navigation to extended applications. Arundo offers a range of high ROI SaaS products. Each solution comes with a core functional capability that leverages Arundo Enterprise's core strengths.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

Aggua is an AI platform with augmented data fabric that gives data and business teams access to their data. It creates Trust and provides practical Data Insights for a more holistic and data-centric decision making. With just a few clicks, you can find out what's happening under the hood of your data stack. You can access data lineage, cost insights and documentation without interrupting your data engineer's day. With automated lineage, data engineers and architects can spend less time manually tracing what data type changes will break in their data pipelines, tables, and infrastructure.

Manage, control, secure, and manage the apps, data, and IT that run your business from edge to cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting resources and time from IT operations to innovation. Modernize your apps. Simplify your operations. You can harness data to transform insights into impact. Kubernetes can be deployed at scale in your data center or on the edge. It integrates persistent data storage to allow app modernization on baremetal or VMs. This will accelerate time-to-value. Operationalizing the entire process to build data pipelines will allow you to harness data faster and gain insights. DevOps agility is key to machine learning's lifecycle. This will enable you to deliver a unified data network. Automation and advanced artificial intelligence can increase efficiency and agility in IT Ops. Provide security and control to reduce risk and lower costs. The HPE Ezmeral Container Platform is an enterprise-grade platform that deploys Kubernetes at large scale for a wide variety of uses.

Veracity Data Fabric provides secure data management for cloud and on-premise. It allows you to store all your data, from data streams to data objects, in one place. Secure sharing mechanisms allow you to share this information. You can work on your own data, or share it with other data sets. We offer secure technology and access multiple industry-relevant data providers and analytics providers. You decide if and how to use them. SAS keys (shared access signature) allow data sharing. These keys can be used to grant and deny access. The ledger can track and be viewed by the container owner to show the activities related to the stored data. Only authorized platform users can share keys.

TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.

Mosaic is data management at its best. Our Mosaic data products will help you see a bigger picture. Mosaic provides trusted tools that help you find, evaluate, and visualize quality insight. To see how the pieces can be put together, explore each Mosaic product. Mosaic Insights, an Enterprise framework, allows you to move, aggregate and publish sensitive data in a secure subscription environment. Mosaic DART is the fastest software available to allow data to be moved and structured in a seamless manner. Mosaic SD NVMe, an ultra-high-performance, pre-calibrated data system, is easy to scale up and build up as required. Database architecture that integrates compute storage, networking, and specialized programs to modernize database environments in the most cost-effective way possible.

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.

AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

Traditional methods of integrating mainframe, ETL, warehouses, and building connectors are not fast enough or efficient enough to be useful for businesses today. Data virtualization is a new way to store and create more data on the mainframe than ever before. Data virtualization is the only way to close the gap and make mainframe data more accessible to developers and other applications. You can map your data once and then virtualize it for access anywhere, anytime. Your data can scale to your business goals. Data virtualization on z/OS removes the complexity that comes with working with mainframe resources. Data virtualization allows you to combine data from many sources into one logical data source. This makes it easier to connect mainframe data to your distributed applications. Combine mainframe data with location, social networks, and other distributed data.

Integrate with existing toolchain to automate self-service provisioning, refresh enterprise workloads, and integrate with existing tools. Through a rich set APIs and automation, data scientists can achieve high-performance data delivery and re-use. Any cloud data can be recovered at any time, at any scale, and beyond legacy solutions. Reduce the business impact of ransomware and cyber attacks by quickly recovering with immutable backups. Unified platform to protect, secure, keep, govern, and recover your data whether it is on-premises or cloud. Actifio's patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP), provides full-stack data management - hybrid, on-premises, or multi-cloud -- from rich application integration, SLA based orchestration, flexible movement, data immutability, security, and SLA-based orchestration.

Unlock the potential value of your data, wherever it may be. Data-driven companies must be able to access all information across apps, clouds, and systems in order to make use of it. CONNX data integration allows you to easily access, virtualize, and move your data, regardless of where it is located or how it's structured, without having to change your core systems.

It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views from data starting at the source. This allows you to reuse, configure, test and deploy all your data in one integrated environment. You can analyze your business data as it happens to maximize the use and minimize costs, improve/refine business processes, and optimize the use of your assets. Our implementation time to market is between 50-90% shorter. We connect your sources so that you can make business decisions based upon real-time data.

The Hammerspace Global Data Environment makes network share visible and accessible from anywhere in the world to remote data centers and public cloud. Hammerspace is the only global file system that leverages our metadata replication, file granular data services and transparent data orchestration. This allows you to access your data wherever you need it, when you need. Hammerspace offers intelligent policies that help you manage and orchestrate your data. Hammerspace provides intelligent policies to manage and orchestrate your data.

Adaptive data virtualization™, a technology that allows enterprises to run existing applications on modern cloud storage warehouses without rewriting them or reconfiguring them, is Adaptive Data Virtualization™. Datometry HyperQ™, a cloud database management software, allows enterprises to adopt new cloud databases quickly, reduce ongoing operating expenses, and develop analytic capabilities to accelerate digital transformation. Datometry HyperQ virtualization software makes it possible to run any existing application on any cloud database. This allows applications and databases to interoperate. Enterprises can now choose the cloud database they prefer, without needing to rip, replace, or rewrite existing applications. Runtime compatibility with legacy data warehouse functions can be achieved through Transformation and Emulation. Transparent deployments on Azure, AWS, or GCP clouds. Applications can continue to use existing JDBC and ODBC connectors. Connects to the major cloud data warehouses Azure Synapse Analytics and AWS Redshift as well as Google BigQuery.

Your data is everywhere and in every format imaginable. It's growing every minute, stored in public clouds and private clouds, as well as on premises. It's a tool that your teams use to accomplish their tasks. It is essential for your business to thrive and survive. You can now design your data fabric to deliver the data where, when, and how you need it. You can ensure that your data is always available, accessible, and easy to consume. No cost to hire developers. Deliver a single data experience across all clouds, private clouds, and on-premises. NetApp has the proven capabilities to manage and build your data fabric. NetApp customers are thought-leaders who recognize the importance of digital transformation. They are changing the world every day by leveraging their most valuable business resources data.

VMware Cloud Director is a cloud service-delivery platform that's used by many of the most well-known cloud providers around the world to manage and operate successful cloud-service businesses. Cloud providers can deliver secure, efficient, elastic cloud resources to thousands upon thousands of IT teams around the globe using VMware Cloud Director. You can use VMware Cloud Director to build your cloud infrastructure. A policy-driven approach helps enterprises have isolated virtual resources and independent role-based authorization and fine-grained management." to "A policy driven approach to compute storage, networking, and security ensures that tenants have securely isolated virtual ressources, independent role based authentication, fine-grained management of their public cloud services." You can stretch data centers across sites and geographic locations; you can monitor resources from a single pane of glass that has multi-site aggregate views.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible.

The phenomenal growth in consumer datasphere over the past decade is now being eclipsed by exponential growth rates for business data. This presents new challenges and opportunities for cloud service providers and enterprises, and requires a fundamentally different approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric represents our vision for the evolution in enterprise storage from traditional hardware appliances to elastic data center-scale pooles of high-performance, highly-reliable, low-cost digital storage with seamless mobility within the data centre and the public cloud. The tsunami of digital transformation has created a similar problem for enterprise technologists across all industries. Traditional hardware-based storage arrays can be expensive, difficult to manage, and far too small to meet the demands of the digital age. They must evolve into software-defined on-premises enterprise storage cloud.