List of Oracle Berkeley DB Customers
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Since 2010, our global team of researchers has been studying Oracle Berkeley DB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Oracle Berkeley DB for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Oracle Berkeley DB for Database Management include: Amazon, a United States based Retail organisation with 1578000 employees and revenues of $637.96 billion, Oracle, a United States based Professional Services organisation with 162000 employees and revenues of $57.40 billion, Mysql, a Sweden based Professional Services organisation with 400 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Berkeley DB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Oracle Berkeley DB customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Amazon | Retail | 1578000 | $638.0B | United States | Oracle | Oracle Berkeley DB | Database Management | 1995 | n/a | In 1995, Amazon implemented Oracle Berkeley DB as part of its Database Management environment for the nascent amazon.com site. Oracle Berkeley DB was used in the earliest website backend to store the product catalog and other non-transactional data, directly supporting the initial e-commerce catalog and ordering flows in the United States. The deployment used Oracle Berkeley DB as an application-embedded database, providing persistent key-value storage and lightweight indexing to support catalog lookup and attribute retrieval. Configuration emphasized embedded API access within application components rather than a remote, centralized relational server, aligning with common Database Management capabilities for low-latency catalog storage. Operational coverage was focused on amazon.com s early U.S. storefront and backend services, where Berkeley DB was integrated into core catalog and ordering workflows. The implementation pattern favored co-location with application logic and iterative in-product adoption by engineering teams, positioning Oracle Berkeley DB as the catalog and non-transactional data store in Amazon s initial architecture. | |
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Mysql | Professional Services | 400 | $50M | Sweden | Oracle | Oracle Berkeley DB | Database Management | 2000 | n/a | In 2000, Mysql integrated Oracle Berkeley DB as the BDB transactional storage engine into MySQL, introducing a Berkeley DB option within the Database Management layer. The integration was executed as part of the MaxSQL/MySQL collaborations to provide ACID transactional capabilities for select MySQL deployments in Sweden and Europe. The implementation embedded Oracle Berkeley DB as a pluggable storage engine, enabling transactional semantics, concurrency control, and crash recovery services typical of a transactional database engine. Configuration centered on the MySQL storage engine API, with the Berkeley DB module exposing transactional commit and rollback operations and leveraging Berkeley DB’s transaction logging and recovery mechanisms. Operational coverage was focused on certain Sweden and broader European deployments, where the BDB engine was offered as a storage engine choice within server configuration and database provisioning workflows. The BDB storage engine integration is documented as later deprecated in newer MySQL releases, preserving the historical signal of a commercial embedding of Oracle Berkeley DB inside MySQL’s Database Management stack. | |
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Oracle | Professional Services | 162000 | $57.4B | United States | Oracle | Oracle Berkeley DB | Database Management | 2003 | n/a | In 2003, Oracle implemented Oracle Berkeley DB as a Database Management component to provide embedded persistent storage across middleware components. The agreement announced in 2003 gave Sun a commercial license and support for Berkeley DB, and Sun standardized on Oracle/Sleepycat Berkeley DB for embedded use inside its Java Enterprise and Java Desktop product lines in the United States. Oracle Berkeley DB was deployed as an embedded storage engine inside directory, messaging and calendar servers, providing transactional and persistent key value storage via in process APIs. Configuration and packaging emphasized embedding the database library directly in middleware processes, aligning with standard embedded database patterns for local persistence and low latency access. Operational coverage focused on middleware stacks within the Java Enterprise and Java Desktop product lines, impacting application persistence, messaging and directory services across those product suites. Integrations were realized at the application layer rather than as a separate database tier, delivering consistent storage semantics across multiple middleware components. Governance and rollout were enabled by the commercial license and support agreement, which permitted standardization of embedded persistent storage across multiple middleware components in the United States. The implementation positioned Oracle Berkeley DB to serve as the Database Management layer for embedded persistence within the affected middleware products. |
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