Datastore Coverage

DataPad++ supports native-feeling workflows across SQL, document, cache, search, cloud, local, analytics, metrics, and graph families.

29documented engines

Every declared datastore has connection, exploration, query, result, transfer, diagnostic, and safety boundaries.

4explicit capability states

Live, Experimental, Plan only, and Unavailable describe each operation without implying production readiness.

Prerelease maturity

All engines and capabilities remain pre-release. Begin with local, disposable, or read-only targets.

SQL and relational

PostgreSQL CockroachDB SQL Server Azure SQL MySQL MariaDB SQLite Oracle TimescaleDB

Document and NoSQL

MongoDB DynamoDB Cassandra Cosmos DB

Key-value and cache

Redis Valkey Memcached

Search

Elasticsearch OpenSearch

Local and analytical

DuckDB LiteDB ClickHouse Snowflake BigQuery

Time-series, metrics, and graph

Prometheus InfluxDB OpenTSDB Neo4j ArangoDB JanusGraph Neptune

Operation-specific, not one broad badge

Querying, editing, import, export, backup, restore, administration, and cloud control-plane support can differ on the same engine. Each guide states the exact action boundary.

Browse datastore-specific docs