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Provision a managed Oracle database by workload and deployment model.

Managed relational database clusters compatible with PostgreSQL and MySQL, operated through Amazon RDS.

Provision and operate managed PostgreSQL clusters across AWS, Azure, or Google Cloud.

Provision a managed Weaviate vector database and build collections for similarity search and retrieval workflows.

Run analytical SQL in an embedded database from a local process or Python program.

A managed, PostgreSQL-compatible database on Google Cloud with a console-based SQL workflow.

Use hosted PostgreSQL with branch-based development and connection options for applications.

Diagnose PostgreSQL query performance with continuous statistics and tuning advisors.

A serverless Apache Cassandra database with portal, API, driver, and CLI access.

A managed NoSQL database with a portal-based setup and query workflow.

Organize and query industrial IoT time-series data across device and sensor paths.

A transactional hierarchical key-value database with interfaces for multiple programming languages.

An analytical database offered as a managed service and as a self-managed engine.

A managed SQL service that provisions database resources by instance.

Convert database files and SQL exports into reusable data formats

Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.

Store and retrieve large-scale data with Apache's distributed, column-oriented Hadoop database.

A distributed, memory-first SQL database for applications that need shared cluster state.

An embeddable persistent key-value store for applications that need fast local storage.

A managed document database with MongoDB API compatibility.

A freely downloadable, GPL-licensed database with SQL, replication, connectors, and administration tools.

Create a managed MongoDB deployment, connect with mongosh or a driver, and scale from a small shared tier.

A self-hostable database engine for relational, document, graph, vector, and time-series data.

Create a managed Postgres project and connect it with a method suited to the application runtime.