RethinkDB is an open‑source, distributed NoSQL database built for real‑time applications and change‑feed queries. While it offers a flexible JSON document model and live query capabilities, many teams look for alternatives that provide broader ecosystem support, managed cloud options, or different performance characteristics. Below is a curated list of 20 popular backend/database platforms that can serve as viable replacements for RethinkDB.
Get targeted exposure with custom position pinning and highlighted placement.
Advanced open‑source relational database with strong ACID compliance, extensibility via extensions (e.g., PostGIS), and support for JSONB for document‑style workloads.
Widely adopted document‑oriented NoSQL database offering flexible schemas, rich query language, and a fully managed cloud service (Atlas).
Highly scalable, fault‑tolerant wide‑column store designed for massive write throughput and multi‑data‑center replication.
Distributed NoSQL platform combining a key‑value store, document database, and built‑in full‑text search with strong consistency options.
Fully managed, serverless key‑value and document database with automatic scaling, global tables, and tight AWS ecosystem integration.
Serverless, document‑oriented database with real‑time listeners, strong consistency, and seamless integration with Firebase and Google Cloud.
Community‑driven fork of MySQL offering robust relational features, JSON support, and a growing set of storage engines.
Popular open‑source relational database with broad tooling, replication options, and JSON document capabilities.
Column‑family NoSQL store built on Hadoop HDFS, ideal for large‑scale, low‑latency random reads/writes.
Distributed search and analytics engine that also serves as a JSON document store with powerful full‑text querying.
Native multi‑model database supporting graph, document, and key‑value data models within a single query language (AQL).
Serverless, globally distributed database offering ACID transactions, GraphQL API, and native support for relational and document data.
Drop‑in Apache Cassandra replacement written in C++ that delivers lower latencies and higher throughput on modern hardware.
Time‑series extension for PostgreSQL that adds hypertables, compression, and native SQL querying for temporal data.
Column‑oriented analytical DBMS designed for real‑time OLAP queries, offering high compression and fast aggregations.
Leading graph database with ACID compliance, Cypher query language, and strong tooling for relationship‑centric data.
Multi‑model NoSQL database supporting document, graph, key‑value, and object models with a unified SQL‑like query language.
Open‑source, PostgreSQL‑compatible distributed SQL database that also offers a Cassandra‑compatible API for NoSQL workloads.
Distributed NewSQL database compatible with MySQL protocol, providing horizontal scalability and strong consistency.
Globally distributed, multi‑model database service supporting SQL, MongoDB, Cassandra, Gremlin, and Table APIs with turnkey scaling.