SurrealDB
surrealdb.comA self-hostable database engine for relational, document, graph, vector, and time-series data.
A self-hostable database engine for relational, document, graph, vector, and time-series data.
Convert database files and SQL exports into reusable data formats
Provision configurable Linux virtual machines with private networks, firewalls, volumes, and an infrastructure API.
Provision managed PostgreSQL from Aiven Console or Terraform, then connect and load a sample dataset.
A managed distributed SQL database with a free sandbox cluster.
Branch, diff, and merge database tables using version-control operations alongside SQL.
Model connected data as a distributed graph and query it with DQL or a schema-generated GraphQL API.
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.
Store metrics, logs, and traces in one database and query them with SQL or PromQL.
A Ruby framework for building database-backed web applications with conventional project structure.
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.
Store JSON documents and replicate them across servers and disconnected clients.
A managed document database with MongoDB API compatibility.
A freely downloadable, GPL-licensed database with SQL, replication, connectors, and administration tools.
Ingest streaming or batch data into an analytics database built for fast interactive queries.
An analytical database offered as a managed service and as a self-managed engine.
Instrument Java and ColdFusion applications with an on-prem agent that exposes application, system, and database performance.
Create a managed Postgres project and connect it with a method suited to the application runtime.
Bring application, infrastructure, database, network, log, and digital-experience monitoring into one hosted workspace.
Query relational, JSON, geospatial, text, and time-series data through one distributed SQL database.
A distributed SQL engine for real-time analytics, data warehousing, and search workloads.
Correlate network, server, application, database, and cloud signals in a customer-operated hybrid IT observability platform.