The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.
Product | Market Share (%) |
---|---|
Oracle NoSQL | 2.8% |
MongoDB Enterprise Advanced | 15.1% |
ScyllaDB | 10.0% |
Other | 72.1% |
Company Size | Count |
---|---|
Midsize Enterprise | 3 |
Large Enterprise | 4 |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 12 |
Large Enterprise | 42 |
The Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction.
For more information on Oracle NoSQL Database, visit Oracle.com
Airbus, Globacom, WebAction
Author info | Rating | Review Summary |
---|---|---|
Support on banking at Aithent | 3.0 | We use Oracle NoSQL to store large amounts of data for our web applications, particularly for a bank customer with over nine hundred gigabytes. While effective, connectivity issues occasionally occur, requiring our DBA team to seek solutions from Oracle. |
Database and Middleware Technical Head at Riyadh Municipality | 5.0 | We use Oracle NoSQL for storing structured data and logs, appreciating its seamless integration with Oracle Database, fast data retrieval, and ease of management. Better support compared to MongoDB is crucial, though improved administrative simplicity would enhance user experience. |
Data Scientist at a financial services firm with 10,001+ employees | 3.5 | As a data scientist, I find Oracle NoSQL easy for handling unstructured data with fast execution and ease of learning. However, it needs integration with cloud platforms for better manipulation and faster updates. Oracle is simpler to learn than MongoDB. |
Infrastructure specialist at Cooper Cloud | 4.5 | No summary available |
OSS Automation and Orchestration Consultant at a comms service provider with 1,001-5,000 employees | 4.0 | No summary available |
Chief Technology Officer at a tech company with 1,001-5,000 employees | 4.5 | No summary available |
IT System Consultant & Software Developer at a tech services company with 1,001-5,000 employees | 4.0 | No summary available |
Leading Specialist in Big Data at a tech services company with 501-1,000 employees | 3.5 | No summary available |