The cost of data access and sharing across organisations and clouds has drastically decreased because to new advancements.
The first and only autonomous database on the market, powered by machine learning and designed for analytics workloads, has received new updates from Oracle. The improvements overcome the closed and proprietary nature of conventional data lakes and warehouses. In contrast, Oracle offers native support for multicloud and open standards-based data sharing across databases, streamlines data integration and analysis with a special low-code tool, and changes the economics of data lakes by offering ultra-fast enterprise storage at the same low price as object storage. Customers no longer have to pick between performance and cost when redesigning their data warehouse and data lake infrastructures.
“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”, “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.”
Çetin Özbütün, executive vice president, Data Warehouse and Autonomous Database Technologies, Oracle
Customers of Oracle Autonomous Data Warehouse can get the latest ground-breaking innovations without paying any additional fees. They include:
Contrary to proprietary data-sharing approaches, Oracle uses the open-source, industry-standard Delta Sharing protocol. Customers may now securely share data with anyone using any application or service that supports the protocol thanks to our open strategy. By avoiding the use of outdated information and erroneous outcomes, faster data sharing enhances business decisions.
Extensive multicloud functionality: Oracle Autonomous Data Warehouse is built for multicloud and has live SQL connections to Azure SQL, Azure Synapse, Amazon Redshift, Snowflake, MongoDB, Apache Hive, and PostgreSQL as well as pre-built connectors to ingest data from over 100 data sources. It also has secure access to object storage in AWS, Azure, and Google Cloud. In addition, Autonomous Data Warehouse now has interaction with AWS Glue for autonomous data lake schema and metadata retrieval and query access to Apache Iceberg tables.
Data analysis and data integration made easier: For analysts and data scientists to load, transform, and analyse data without relying on IT, low-code Oracle Autonomous Database Data Studio offers an intuitive self-service cloud console—no additional products are required, and multi-product integration problems are avoided. Oracle Autonomous Data Warehouse now includes a Google Sheets add-on in addition to the already existing Microsoft Excel add-in, accelerating customers’ capacity to derive insights from a single source of truth.
High performance storage at the same price as object storage: Exadata storage costs for Oracle Autonomous Data Warehouse are reduced by over 75%, bringing them into line with object storage costs while providing up to 20X faster query performance. Customers may store all of their data in Oracle Autonomous Data Warehouse as a result, fundamentally rethink their existing approach to data warehouse/data lake architectures, and expedite the time to meaningful insights—all for less money.
What Analysts and Customers Are Saying
“Oracle Autonomous Database includes Data Studio, a robust data management tool, eliminating the need for separate investments in data integration, governance, and analytics. There is nothing more to buy or install”, “We now see data consistently across our global operations and get insights we didn’t have before. Oracle Autonomous Database is far ahead of the competition.”
Shanaka Rabel, group chief digital and transformation officer, Stretchline
“As well as simplifying our data management architecture with Autonomous Database, we have been moving towards a data franchise ownership within our business”, “Having tools like Data Studio will make that move easier and enable us to partner with our business faster and more easily.”
Derek Hayden, senior vice president, Data Strategy & Analytics, OUTFRONT Media
“The great thing about the Transforms tool of Autonomous Database Data Studio is that you can put together sophisticated transforms without worrying about the details, but you can also get down to the lowest level of detail if you need to”,
Dr. Holger Friedrich, chief executive officer, sumIT AG
“Oracle has eliminated many organizations’ common obstacles in their multicloud solutions”, “With new enhancements in Autonomous Data Warehouse, organizations can access and share data across organizations and clouds, eliminate data integration complexity through Autonomous Data Studio, and take advantage of lower storage prices at higher performance for running enterprise-scale data lakes. This advances the industry and the cloud data warehouse market forward, which is great news for customers.”
Carl Olofson, research vice president, Data Management Software, IDC
“Many organizations are using object storage to access and analyze many different data types at a lower cost. However, this approach has inherent problems, namely slow performance compared to querying database-optimized storage, lack of timely analytics, and disparate tools for security and management”, “Oracle has solved this problem and basically torn asunder any reason to continue with existing solutions by allowing organizations to run data lakes on Autonomous Data Warehouse at the same price of object store, all while making use of the company’s Exadata Database Storage performance, which can deliver up to 20X higher query performance. This provides customers with a compelling reason to go with Oracle for their data lake architectures, both in terms of price/performance ratio and technical capabilities.”
Bradley Shimmin, chief analyst, AI & Data Analytics, Omdia
Oracle Autonomous Database
The first and only self-driving database in the market, Oracle Autonomous Database operates natively on Oracle Cloud Infrastructure (OCI) and has the ability to scale resources as necessary, configure and optimise for particular workloads, and automatically secure highly available databases. Oracle Autonomous Database, which is based on Oracle’s distinctive converged database engine, offers a full range of capabilities to support all contemporary data types, workloads, and development approaches. This simplifies the development and operation of all applications, lowering complexity, expense, and risk. Oracle Autonomous Database, in addition to OCI, is accessible to Azure users through the Oracle Database Service for Azure and in customers’ data centres through Oracle Exadata Cloud@Customer and OCI Dedicated Region, allowing customers to update their database infrastructure on-premises to address data residency, data sovereignty, and other issues.
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