10 Best Serverless Databases Tools in 2026

Redis Cloud is a fully managed in-memory database service offering real-time data capabilities across AWS, Azure, and GCP with enterprise-grade features including active-active replication and auto-tiering.

PlanetScale is a serverless database platform offering PostgreSQL and MySQL-compatible Vitess databases with branching, deploy requests, and query monitoring for modern development workflows.

CockroachDB is a cloud-native distributed SQL database designed for mission-critical applications requiring global scale, resilience, and multi-region support across AWS, GCP, and Azure.

Amazon Redshift is AWS's fully managed, petabyte-scale cloud data warehouse. It uses columnar storage and massively parallel processing (MPP) to deliver fast query performance on large datasets. Redshift integrates deeply with the AWS ecosystem including S3, Kinesis, and SageMaker. The service offers both provisioned clusters and serverless options, making it accessible for various workloads. Redshift is one of the most popular data warehouses, competing with Snowflake, BigQuery, and Databricks.

Momento provides a fully-managed, enterprise-grade caching solution built on a hardened and optimized Valkey (formerly Redis) infrastructure. It's designed for global leaders and enterprises that require bullet-proof reliability, sub-millisecond latency, and massive scalability for their mission-critical applications. Momento handles operational complexities like multi-AZ deployments, zero-downtime upgrades, hot-key shielding, automated failover, and durability guards, allowing development teams to focus on their core products. The platform is ideal for industries such as Media & Entertainment (origination, beaconing, personalization), Gaming (real-time chat, session state, leaderboards), Fintech (fraud checks, low-latency transactions, market data fan-out), and AI (embedding/vector retrieval, short-term memory, feature stores). Momento aims to simplify caching operations, reduce costs compared to self-managed solutions like ElastiCache, and eliminate issues like Redis cold starts, boosting developer productivity and application performance.

Neon is a serverless PostgreSQL database platform offering automatic scaling, database branching, instant data recovery, and built-in authentication for modern development workflows.

Dragonfly is a lightning-fast, in-memory data store designed for heavy workloads on modern cloud hardware. It boasts 100% API compatibility with Redis, Valkey, and Memcached, enabling seamless migrations and offering up to 25X better performance on half the infrastructure. Its multi-threaded architecture simplifies operations, reduces cluster size, and handles peak traffic efficiently, minimizing downtime. This product is ideal for businesses and developers seeking to boost performance and reduce infrastructure costs for demanding applications like ML feature stores, vector search, and high-throughput caches. Dragonfly Cloud provides a fully managed service with enterprise-grade security and 24/7 support, while the open-source Dragonfly Community version offers a powerful self-managed solution. Users can leverage their existing Redis client libraries, CLI, and toolsets, making the transition effortless.

MongoDB Atlas provides managed MongoDB in the cloud. Document database without ops work—MongoDB with the infrastructure handled. The management is automatic. The scaling is flexible. The serverless option exists. Teams wanting MongoDB without database operations choose Atlas for managed documents.

TimescaleDB adds time-series superpowers to PostgreSQL. Time-series queries and compression on familiar PostgreSQL—analytics for timestamped data. The PostgreSQL foundation is familiar. The time-series features are powerful. The compression helps storage. Teams with time-series data who love PostgreSQL choose TimescaleDB for temporal analytics.

Cosmos DB is Microsoft's globally distributed database. Deploy across Azure regions, and data replicates automatically with consistency levels you choose. Scale throughput on demand without schema migrations. Multiple APIs—SQL, MongoDB, Cassandra, Gremlin—let you use familiar interfaces. Latency stays low worldwide because data lives close to users. Applications requiring global scale and availability choose Cosmos DB when multi-region complexity shouldn't be the application's problem.