Leading Industry Analysts and Customers Comment on the Latest Autonomous Data Warehouse Innovations

May 3, 2023 | 9 minute read
Youko Watari
Product Marketing Director
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Oracle has just announced the latest Autonomous Data Warehouse innovations.

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Because data is your most valuable asset, these new innovations to Autonomous Data Warehouse aim to simplify all aspects of its usage by breaking through a common obstacle to data warehouse and data lake—platform complexity. The announcement includes the following break through innovations: 

  • 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.

For more about these breakthrough innovations, I suggest reading George Lumpkin’s announcement blog. Additional feature-focused blogs are also available.

What industry analysts are saying

What Industry Experts Are Saying

Commenting on the innovations, leading industry analysts stated the following:

IDC

“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

OMDIA

“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.”

“Oracle swings for the fences with Autonomous Data Warehouse updates: with a series of major enhancements to Oracle Autonomous Data Warehouse, the Austin database powerhouse has signaled a clear intent to disrupt the fragmented analytics data platform marketplace. Oracle is offering a solution capable of unifying disparate workloads under a single high performing and highly automated analytics platform…Oracle waits just that market millisecond necessary to enter the market—not as a fast follower but as a disruptor…true, Oracle has not swung at the first cloud computing or computer architecture pitch to come over the plate. Rather, just as it did before in waiting on the public cloud to mature, Oracle has waited for the marketplace to mature to the point where an automated converged database that delivers simplicity, governance, security, and manageability will win out over the latest disjointed collection of shiny objects.”

—Bradley Shimmin, Chief Analyst-AI platforms, analytics and data management, OMDIA | Read OMDIA report (PDF)

Constellation Research

“Oracle is clearly accelerating its R&D for data warehousing: not only does Autonomous Data Warehouse provide a highly performant platform, but its latest enhancements—including Data Studio with built-in transforms and data sharing—overcome obstacles to real-time analytics with faster data capture and utilization. This is extremely critical to many organizations as they depend on accurate insights to deliver timely customer experiences. CxOs should take a look at the latest version of ADW, as it’s ML-powered capabilities can truly help organizations optimize for peak performance and improve their operations.”

—Holger Mueller, Vice President and Principal Analyst, Constellation Research

Futurum

“While other cloud vendors lock in their users within their own cloud ecosystem, Oracle has taken a different approach with Autonomous Data Warehouse. The company is extending Autonomous Data Warehouse’s capabilities by implementing the open source Delta Sharing protocol and building a collaborative platform with its new Data Sharing feature. With this feature, users can securely and efficiently grant access to subsets of their data with anyone on any cloud. In contrast, many competitors are effectively holding data hostage with a high ransom—or rather, high egress—fees.”

“As part of its multi-cloud strategy, Oracle unveiled significant data sharing innovations to its Autonomous Data Warehouse (ADW), which turns up the heat on rival Snowflake and its proprietary approach. From my view, Oracle is delivering native multi-cloud capabilities and open standards-based data sharing across databases; streamlining data integration and analysis with a unique low-code based tool. Plus, the economics of data lakes in transformed by providing fast Exadata storage at the same low cost as object storage.”

— Ron Westfall, Senior Analyst and Research Director, Futurum Research | Read Futurum report

Wikibon

"The latest Oracle Autonomous Data Warehouse enhancements, especially the implementation of open Delta Sharing, will put pressure on Snowflake,” said Marc Staimer, Wikibon Sr. Analyst and President of DSC. “Autonomous Data Warehouse empowers easy bi-directional data sharing between users and data vendors as well as between Autonomous Data Warehouse users and users on other clouds. That’s something Snowflake currently does not do. Equally eye-catching is the Autonomous Data Warehouse’s enabling users to build data lakes on high performance storage at object storage costs. That’s something else Snowflake doesn’t do.”

—Marc Staimer, Senior Analyst, Wikibon

Moor Insights & Strategy

"Data originates everywhere and it drives the modern business. It is both structured and unstructured, in seemingly limitless formats. Successful businesses quickly transform this data into intelligence – which means employing a toolset to access, extract, load, and transform without losing functionality. Oracle Autonomous Data Warehouse can help businesses achieve these goals by enabling users to connect to over 100 data sources with a simple-to-use, no-code tool. These new capabilities combined with automated management and a reduction in storage costs can make Autonomous Data Warehouse a compelling analytics powerhouse by shortening the all-important “time to value” metric, cheaper."

“Here's a news flash: this isn't that Oracle. I have mentioned this previously, but it bears repeating. This new Oracle is a cloud company that has learned some important lessons while watching companies like Microsoft transform themselves. And while the company could have taken the approach of protecting its turf, instead it is looking to expand its market presence and attract a new generation of developers and a new class of data consumers—the business analysts, data scientists and digitally-transformed organizations that are living in the multi-cloud world.”

—Matt Kimball, VP & Principal Analyst, Datacenter Compute and Storage, Moor Insights & Strategy | Read the report and watch the video

What Our Customers and Partners Are Saying

We have some very excited customers and partners on these innovations:

Reactions to Data Studio

“As well as simplifying our data management architecture with Autonomous Database, we have been moving generally 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, SVP Data Strategy and Analytics, OUTFRONT Media

“Oracle Autonomous Database includes Data Studio, with robust data management tools, 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."
— Shanaka Rabel, Group Chief Digital and Transformation Officer, Stretchline

“Writing SQL code to create reports presents major challenges: being able to dynamically group data at different hierarchical levels and adjust measures accordingly. Oracle Analytical Views solve this problem elegantly, and Oracle APEX implements this functionality instantly. When we then decide to use the Oracle Autonomous Database environment, the perfect mix of robustness, power and simplicity is created to maximize productivity."
— Roberto Capancioni, Developer & Oracle APEX Instructor, capancioni.com

“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

“The Data Load tool in Oracle Autonomous Database Data Studio provides a one-stop shop for all our clients’ data loading needs. Data Studio allows us to load, query, browse and model data from a web interface without any additional setup, saving us lots of time."
— Dan Vlamis, President, Vlamis Software Solutions

Reactions to Data Sharing

“Very excited about the new Data Sharing feature of Oracle Autonomous Database! Integration with tools such as APEX, Microsoft PowerBI, and APIs such as Python, opens the door to new offerings to our clients and enhances our business value proposition."
— Frank Hoogendoorn, CDO, MineSense

“I look forward to deploying ADW Data Sharing in our production environment. This functionality will help service the needs of both internal and external partners who have a diverse set of data requirements. Currently there are multiple ways to integrate, access, and share data in numerous formats with a multitude of notification and tracking methods. ADW Data Sharing is a promising solution to easily and securely centralize data and streamline fulfilling various data needs."
— Derek Hayden, SVP Data Strategy and Analytics, OUTFRONT Media

“Oracle Data Sharing will enable data to be turned into a consumable commodity, simply and securely, and can provide new innovation and opportunities for our clients."
— Frances Mignault, CIO, Insum

“The new Data Sharing feature of the Oracle Autonomous Database is a game-changer! The ease of creating data shares using PL/SQL APIs allows us to help customers like MineSense and Pierre Audoin Consultants (PAC) rapidly build self-service web applications using Oracle APEX and then share data with their clients."
— Adrian Png, Architect, Insum

What Media Outlets Are Reporting

Additionally, the news received positive media coverage:

InfoWorld: 

“Oracle is set to cut storage pricing and add major updates to its cloud data warehouse service, Oracle Autonomous Data Warehouse, in an effort to take on competing services from rivals including Amazon Web Services (AWS), Microsoft, Google and Snowflake.”
— How Oracle is taking on AWS, Snowflake with Autonomous Data Warehouse updates by Anirban Ghoshal | Read the report

TechZine

“The new announcements should make Oracle Autonomous Data Warehouse more attractive to deploy as a central data warehouse for the entire multicloud environment.”
— Oracle makes Autonomous Data Warehouse more open, affordable and attractive by Sander Almekinders | Read the report

SiliconAngle

“Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs.”
— Oracle introduces new analytics features for its Autonomous Data Warehouse by Maria Deutscher | Read the report

Dig Deeper

Youko Watari

Product Marketing Director

Youko Watari is a Product Marketing Director for Oracle database products. Youko spent most of her 25-plus-year career in data and analytics, and she has an end-to-end perspective in data platform implementation as well as analytics and application product development.


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