Oracle Virtualization is not the only option for Data Virtualization Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Oracle Virtualization include user interface and features. The best overall Oracle Virtualization alternative is SAP HANA Cloud. Other similar apps like Oracle Virtualization are Spotfire Analytics, AWS Glue, Denodo, and Informatica PowerCenter. Oracle Virtualization alternatives can be found in Data Virtualization Software but may also be in ETL Tools or On-Premise Data Integration Software.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.
Informatica PowerCenter is an ETL tool that is used to enterprise extract, transform, and load the data from the sources. We can build enterprise data warehouses with the help of the Informatica PowerCenter. The Informatica PowerCenter produces the Informatica Crop.
lyftrondata modern data hub combines an effortless data hub with agile access to data sources. Lyftron eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake. Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.
IBM Netezza Performance Server is a purpose-built, standards-based data warehouse and analytics appliance that integrates database, server, storage and analytics into an easy-to-manage system. It is designed for high-speed analysis of big data volumes, scaling into the petabytes.
An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the data sets and IT-curated data services foundation for nearly any analytics solution
FME Platform lets you connect and transform spatial data. Build workspaces in a few quick clicks using FME's drag-and-drop interface. Workspaces are repeatable and can be run again and again. No coding is required, which means you can spend more time using your data and less time fighting with it (And if you really want, FME Desktop also supports Python).
Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as single source, delivering the needed data in the required form at the right time to any application or user.