Top Multi‑Model Databases for Flexible Data Modeling

Native multi‑model DB supporting graph, document, and key‑value data with AQL query language and ACID transactions.

Combines graph, document, key‑value, and object models; offers SQL‑like syntax and distributed clustering.

Globally distributed, multi‑model service with APIs for SQL, MongoDB, Cassandra, Gremlin (graph), and Table storage.

Fully managed key‑value and document database that integrates with Amazon Neptune for graph workloads.

Document‑oriented DB with built‑in key‑value store, N1QL query, full‑text search, and analytics for multi‑model use cases.

Enterprise NoSQL platform that unifies document, graph, and search capabilities with ACID compliance.

Serverless, globally distributed database offering document, relational, and graph capabilities via FQL.

High‑performance graph database that also supports document‑style loading and analytics pipelines.

Graph‑first DB with support for property graphs and native JSON document storage via APOC procedures.

Distributed graph database with built‑in document storage and GraphQL‑compatible query language.

Open‑source, PostgreSQL‑compatible SQL layer plus Cassandra‑compatible NoSQL layer for hybrid workloads.

SQL database built on Elasticsearch that stores JSON documents, enabling relational and full‑text queries.

Wide‑column store that can be used as a key‑value and time‑series engine; integrates with JanusGraph for graph queries.

Column‑family NoSQL DB on Hadoop; supports key‑value access and can be paired with Apache Phoenix for SQL.

Serverless document database with native support for hierarchical data and real‑time sync; can be accessed via Datastore API.

Document database that adds graph‑style queries via $graphLookup and integrates with Atlas Search for full‑text.

In‑memory key‑value store extended with RedisJSON, RedisGraph, and RedisTimeSeries modules.

Real‑time graph database with support for property graphs and native JSON document ingestion.

Hybrid columnar/row store that supports JSON documents and graph extensions via IBM Graph.

Fully managed JSON document store built on Oracle's relational engine; supports graph queries via PGQL.

Apache CouchDB provides a document store with built‑in replication and can be extended with Mango queries for relational‑like access.

Document database with graph‑style relationships, full‑text search, and time‑series collections.

Time‑series and document store built on PostgreSQL, optimized for high‑frequency financial data.

PostgreSQL extension that adds native time‑series capabilities while retaining full relational and JSON support.

High‑performance time‑series DB with SQL interface; can store JSON blobs for flexible schema.

Columnar OLAP DB that supports JSON columns, key‑value tables, and graph‑like traversals via extensions.

Cloud data warehouse that natively handles semi‑structured data (JSON, Avro, Parquet) alongside relational tables.

Serverless analytics warehouse with native support for nested/repeated (document‑style) data and graph‑like joins.

Managed Cassandra service that adds document and graph APIs via Stargate.

Integrated analytics service combining SQL data warehousing, Spark, and native JSON support.

In‑memory analytical DB that supports JSON columns and graph extensions via the Exasol Graph Engine.

GPU‑accelerated DB offering relational, JSON, and graph analytics in a single platform.

RDF triple store with document indexing capabilities; suitable for semantic graph + document workloads.

Scalable graph database that can sit on top of Cassandra, HBase, or ScyllaDB, giving it key‑value and column‑family roots.

Cassandra‑compatible NoSQL DB with low latency; supports document‑style collections via JSON columns.

Extension to Oracle Database providing property graph and RDF graph capabilities alongside relational and JSON data.