ArangoDB is a native multi‑model database (key‑value, document, and graph) with a powerful query language (AQL) and flexible scalability. If you're looking for other back‑end or database platforms that can serve similar workloads—whether you need a pure document store, a graph engine, a wide‑column store, or a multi‑model solution—this list of 20 alternatives can help you evaluate the right fit for your project.
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Industry‑leading native graph database with Cypher query language, ACID compliance, and rich ecosystem for analytics and AI.
Document‑oriented NoSQL database offering flexible schemas, powerful aggregation pipeline, and native sharding for horizontal scaling.
Highly available wide‑column store designed for massive writes, linear scalability, and multi‑data‑center replication.
Multi‑model (graph + document + key/value) database with SQL‑like query language and native support for ACID transactions.
Native parallel graph database built for real‑time deep link analytics, with its own GSQL query language.
Distributed graph database that combines graph, document and full‑text search capabilities, accessed via GraphQL or DQL.
Open‑source, scalable graph database that sits on top of big‑data back‑ends like Cassandra, HBase, or ScyllaDB.
Distributed NoSQL platform offering document, key/value, and full‑text search with built‑in mobile sync.
Fully managed key‑value and document database with single‑digit millisecond latency and on‑demand scaling.
Serverless, document‑oriented database with real‑time synchronization and automatic scaling for mobile/web apps.
Globally distributed, multi‑model database service supporting document, key/value, graph (Gremlin), and columnar APIs.
Serverless, transactional NoSQL database offering GraphQL, FQL, and native ACID semantics across regions.
Enterprise‑grade multi‑model database combining document, graph, and search with strong security and ACID compliance.
In‑memory key/value store with optional persistence, supporting modules for graph (RedisGraph) and document (RedisJSON).
Scalable, column‑family NoSQL store built on top of Hadoop HDFS, ideal for sparse data sets and real‑time read/write access.
Distributed search and analytics engine that can serve as a document store with powerful full‑text capabilities.
High‑performance embedded key‑value store based on LSM trees, usable as a storage engine for custom DB solutions.
Drop‑in Apache Cassandra replacement written in C++, offering lower latencies and higher throughput.
Fully managed ArangoDB offering; included for comparison when evaluating self‑hosted vs SaaS multi‑model options.
Open‑source graph database by Google, focusing on simplicity and extensibility, with a Gremlin‑compatible query language.