New innovations simplify and accelerate data access and data sharing across organizations and clouds at significantly reduced costs
Oracle today announced new innovations to Oracle Autonomous Data Warehouse, the industry’s first and only autonomous database powered by machine learning and optimized for analytics workloads. The innovations break through the proprietary and closed nature of traditional data warehouses and data lakes. In contrast, Oracle is providing native multicloud capabilities and open standard-based data sharing across databases, simplifying data integration and analysis with a unique low-code based tool, and transforming the economics of data lakes by providing ultra-fast enterprise storage at the same low cost as object storage. Customers can now rethink their data warehouse and data lake architectures without having to choose between performance and cost.
“Customers face many obstacles when analyzing siloed data across on-premises, cloud, and SaaS applications, especially the lack of multicloud and data lake interoperability, and the need to assemble an array of disjointed tools and services to support the data analytics ecosystem. The latest Oracle Autonomous Data Warehouse innovations make it easier for customers to query, manage, share, and scale their data—regardless of location,” said Çetin Özbütün, executive vice president, Data Warehouse and Autonomous Database Technologies, Oracle. “We continue to push the boundaries of what’s possible in data management systems to deliver the performance, automation, and multicloud integration for all key database workloads and data types.”
“In India, our customers are getting increasingly interested in understanding how we can assist with their data analytics ecosystem. The latest Oracle Autonomous Data Warehouse will simplify and accelerate data access and data sharing across organizations and clouds at a significantly reduced cost. Additionally, customers will be able to securely share, manage and scale their data – with no additional products needed and no multi-product integration,” said P Saravanan, vice president, Cloud Engineering, Oracle India.
The new breakthrough innovations are available at no additional cost for Oracle Autonomous Data Warehouse customers and include:
- Open collaboration: Unlike proprietary data-sharing models, Oracle implements the industry-standard, open-source Delta Sharing protocol. With this open approach, customers can now securely share data with anyone using any application or service that supports the protocol. Sharing data faster improves business decisions by eliminating the use of stale data and inaccurate results.
- Expansive multicloud functionality: Oracle Autonomous Data Warehouse is built for multicloud with secure access to object storage in AWS, Azure, and Google Cloud; live SQL connections to Azure SQL, Azure Synapse, Amazon Redshift, Snowflake, MongoDB, Apache Hive, and PostgreSQL; and pre-built connectors to ingest data from over 100 data sources. Autonomous Data Warehouse also now includes query access to Apache Iceberg tables and integration with AWS Glue for retrieving data lake schema and metadata automatically.
- Simplified data integration and data analysis: Low-code based Oracle Autonomous Database Data Studio provides an intuitive self-service cloud console for analysts and data scientists to load, transform, and analyze data, without relying on IT—no additional products needed and no multi-product integration hassles. A Google Sheets add-on is now part of Oracle Autonomous Data Warehouse in addition to the already available Microsoft Excel add-in that accelerates users’ ability to derive insights based on a single source of truth.
- High performance storage at the same cost as object storage: Oracle Autonomous Data Warehouse’s Exadata storage cost is reduced by over 75 percent, bringing it in line with the cost of object storage, while delivering up to 20X faster query performance. This enables customers to completely rethink their current approach to data warehouse/data lake architectures and store all their data in Oracle Autonomous Data Warehouse, and in turn to accelerate time-to-actionable insights—all at a lower cost.
