Best Data Virtualization Software

HERE is the #1 location platform for developers, ranked above Google, Mapbox and TomTom for mapping quality. Make the switch to enhance your offering and take advantage of greater monetization opportunities. Bring rich location data, intelligent products and powerful tools together to drive your business forward. HERE lets you add location-aware capabilities to your apps and online services with free access to over 20 market-leading APIs, including mapping, geocoding, routing, traffic, weather and more. Plus, when you sign up for HERE Freemium you’ll also gain access to the HERE XYZ map builder, which comes with 5GB of free storage for all your geodata. No matter your skill level you can get started right away with industry-leading mapping and location technology. Configure our location services with your data and business insights, and build differentiated solutions. Integrate with ease into your application or solution with standardized APIs and SDKs.

Take the load off of DevOps and eliminate privacy concerns by giving your teams full data autonomy and independence via an easy-to-use self-service portal. Simplify access, eliminate data roadblocks and speed up provisioning for dev, testing, data analysts and more. Accelario Continuous DataOps Platform is a one-stop-shop for handling all of your data needs. Eliminate DevOps bottlenecks and give your teams the high-quality, privacy-compliant data they need. The platform’s four distinct modules are available as stand-alone solutions or as a holistic, comprehensive DataOps management platform. Existing data provisioning solutions can’t keep up with agile demands for continuous, independent access to fresh, privacy-compliant data in autonomous environments. Teams can meet agile demands for fast, frequent deliveries with a comprehensive, one-stop-shop for self-provisioning privacy-compliant high-quality data in their very own environments.

data.world is a fully managed service, born in the cloud, and optimized for modern data architectures. That means we handle all updates, migrations, and maintenance. Set up is fast and simple with a large and growing ecosystem of pre-built integrations including all of the major cloud data warehouses. When time-to-value is critical, your team needs to solve real business problems, not fight with hard-to-manage data software. data.world makes it easy for everyone, not just the "data people", to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. In addition to our enterprise product, data.world is home to the world’s largest collaborative open data community. It’s where people team up on everything from social bot detection to award-winning data journalism.

Oracle Big Data Preparation Cloud Service is a managed Platform as a Service (PaaS) cloud-based offering that enables you to rapidly ingest, repair, enrich, and publish large data sets with end-to-end visibility in an interactive environment. You can integrate your data with other Oracle Cloud Services, such as Oracle Business Intelligence Cloud Service, for down-stream analysis. Profile metrics and visualizations are important features of Oracle Big Data Preparation Cloud Service. When a data set is ingested, you have visual access to the profile results and summary of each column that was profiled, and the results of duplicate entity analysis completed on your entire data set. Visualize governance tasks on the service Home page with easily understood runtime metrics, data health reports, and alerts. Keep track of your transforms and ensure that files are processed correctly. See the entire data pipeline, from ingestion to enrichment and publishing.

Go beyond table stakes with the industry’s most comprehensive, microservices-based, API-driven, and AI-powered enterprise iPaaS. Powered by the CLAIRE engine, IICS supports any cloud-native pattern, from data, application, and API integration to MDM. Our global distribution and multi-cloud support covers Microsoft Azure, AWS, Google Cloud Platform, Snowflake, and more. IICS offers the industry’s highest enterprise scale and trust, with the industry’s most security certifications. Our enterprise iPaaS includes multiple cloud data management products designed to accelerate productivity and improve speed and scale. Informatica is a Leader again in the Gartner 2020 Magic Quadrant for Enterprise iPaaS. Get real-world insights and reviews for Informatica Intelligent Cloud Services. Try our cloud services—for free. Our customers are our number-one priority—across products, services, and support. That’s why we’ve earned top marks in customer loyalty for 12 years in a row.

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.

Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.

The Query Federation Drivers provide a universal data access layer that simplifies application development and data access. The drivers make it easy to query data across systems with SQL through a common driver interface. The Query Federation Drivers enable users to embed Logical Data Warehousing capabilities into any application or process. A Logical Data Warehouse is an architectural layer that enables access to multiple data sources on-demand, without relocating or transforming data in advance. Essentially the Query Federation Drivers give users simple, SQL-based access to all of your databases, data warehouses, and cloud applications through a single interface. Developers can pick multiple data processing systems and access all of them with a single SQL-based interface.

Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.

Traditional methods of integrating mainframe data, ETL, data warehouses, building connectors, are simply not fast, accurate, or efficient enough for business today. More data than ever before is being created and stored on the mainframe, leaving these old methods further behind. Only data virtualization can close the ever-widening gap to automate the process of making mainframe data broadly accessible to developers and applications. You can curate (discover and map) your data once, then virtualize it for use anywhere, again and again. Finally, your data scales to your business ambitions. Data virtualization on z/OS eliminates the complexity of working with mainframe resources. Using data virtualization, you can knit data from multiple, disconnected sources into a single logical data source, making it much easier to connect mainframe data with your distributed applications. Combine mainframe data with location, social media, and other distributed data.