Every product here is ranked by Samsung Mobile US Press's record score: what its maker publishes about it, where it runs (Android first), whether it is free to try, and how recently the facts were read.
SQLite suits developers needing an embedded database, particularly for device-local data with low writer concurrency and less than a terabyte of content.
Azure SQL Database suits teams building modern applications, mission-critical workloads, or AI-ready architectures.
AndroidiPhone & iPadWeb+4DynamoDB suits teams building cloud applications that need managed NoSQL storage, automatic scaling, or multi-Region operation.
AndroidiPhone & iPadWeb+5CockroachDB Cloud suits teams building relational database workloads that need managed operations across regions or cloud providers.
It suits teams needing a managed MySQL-compatible database for transactional and analytical workloads.
Aerospike Database suits teams building transaction systems or data pipelines that need key-value, document or graph data models.
Cassandra suits teams managing large active datasets across on-premises or cloud environments.
Cloud SQL suits organizations needing managed MySQL, PostgreSQL, or SQL Server databases in the cloud.
Neon suits developers and teams building relational database-backed projects that need managed cloud hosting, branching, or programmatic administration.
Firebird suits developers and administrators needing a self-hosted relational database with SQL, monitoring, security, backup, and multiple deployment architectures.
SQL Server suits organizations and developers that need a database engine, data integration, or data virtualization.
Neo4j suits developers and organizations working with connected data who need graph querying and deployment choices.
It suits developers and organizations needing a self-hosted document database, replication, offline-first applications, or clustered deployments.
Spanner suits application teams needing distributed relational data with graph, search, analytics, and multi-region options.
PostgreSQL is suited to developers building applications and administrators focused on data integrity and fault-tolerant environments.
Amazon RDS suits teams that want a managed relational database with multiple engine choices.
It suits developers building flexible-schema, latency-sensitive, elastic, high-throughput, or highly available mission-critical applications.
TiKV suits developers and operators building self-hosted distributed storage systems that need replication, clustering, and transactional or raw key-value access.
AWS identifies enterprise applications, multi-tenant SaaS, and globally distributed applications as Aurora workloads.
YBA suits teams operating YugabyteDB across on-premises infrastructure, public clouds or Kubernetes.
