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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →There is no universally best open-source database. Choose from PostgreSQL, MySQL, SQLite, MongoDB, Redis, Cassandra, Neo4j, InfluxDB, DuckDB, ClickHouse, OpenSearch and other engines according to your workload, data model, consistency requirements, scale, operations capacity and current license terms.
This guide groups more than 25 databases by the problem they solve, compares practical trade-offs, and gives a decision path for a new application. Adoption figures are from OpenLogic’s 2025 State of Open Source Support survey; they are respondent percentages, not universal market share.
Start with the workload, not the brand
Classify the primary workload before comparing products:
- Transactional SQL (OLTP): orders, users, billing and other records that need joins, constraints and transactions.
- Embedded SQL: local, mobile, edge, test or single-process applications that do not need a separate server.
- Document: records that naturally map to JSON-like documents and evolve frequently.
- Key-value and cache: very fast lookups, sessions, queues, counters and temporary data.
- Wide-column and distributed writes: high-volume writes across many nodes and regions.
- Graph: relationship traversal such as recommendations, identity and network analysis.
- Time series: timestamped metrics, events and telemetry.
- Analytics: scans and aggregations over large columnar or event datasets.
- Search: full-text indexing, relevance ranking and faceting.
If several categories seem applicable, select one system of record first. Add a specialized engine only when its advantage is material; polyglot persistence adds deployment, backup, security and data-consistency work.
#1 Best Overall
Quick comparison by database family
| Engine or family | Data model | Best fit | Consistency and query style | Scaling and operations | License note |
|---|---|---|---|---|---|
| PostgreSQL | Relational, extensible | General server applications | SQL, joins, transactions and constraints | Scale up first; replication and extensions require operations | Open-source PostgreSQL license |
| MySQL | Relational | Mature web and application stacks | SQL and transactions | Broad tooling and hosted availability | Check edition and service terms |
| MariaDB | Relational, MySQL-compatible branch | Teams needing MySQL compatibility and optional commercial support | SQL; MariaDB describes heterogeneous federation | Familiar replication and hosting choices | Check component and service terms |
| SQLite | Embedded file-based relational | Mobile, local, edge, tests and small single-process apps | SQL and transactions without a server | Minimal operations; concurrency is process/file oriented | Public-domain core |
| DuckDB | Embedded columnar analytics | Local analysis of Parquet, CSV and similar files | SQL, optimized for analytical scans | Runs in-process; no cluster required | Check current release terms |
| MongoDB | Document | Document-shaped application data | Document queries and indexes | Distributed deployment available; model access patterns carefully | OpenLogic says its current license no longer meets OSI criteria |
| Apache CouchDB | Document | Replication-oriented document use cases | Document API and map/reduce-style options | Replication is a central design concern | Apache license family |
| FerretDB | MongoDB-protocol-compatible layer over PostgreSQL | Document API with PostgreSQL storage | MongoDB wire compatibility backed by SQL | Operate PostgreSQL plus the compatibility layer | Check current project terms |
| Redis / Valkey | In-memory key-value and data structures | Caching, sessions and low-latency real-time workloads | Key commands and specialized data structures | Memory sizing, persistence and failover are operational decisions | Valkey is the Redis-compatible open-source direction; verify each project’s license |
| Memcached | Distributed memory cache | Reducing read pressure on a primary database | Simple key/value operations | Easy horizontal cache pools; no durable system of record | Open-source project |
| Apache Cassandra | Wide-column | High-write, multi-node workloads | Partition-key-oriented queries and tunable consistency | Distributed operations and data modeling are substantial | Apache license family |
| ScyllaDB | Cassandra-compatible wide-column | Latency and resource-efficiency priorities | Cassandra-compatible model | Distributed cluster operations | Check current edition and service terms |
| Neo4j | Property graph | Relationship-heavy domains | Graph traversal and pattern queries | Graph-specific modeling and deployment | Check current license and hosted terms |
| InfluxDB | Time series | Metrics, events and telemetry | Time-oriented queries and retention concepts | Plan retention, downsampling and ingestion capacity | Check current edition and service terms |
| Timescale | PostgreSQL-based time series | Time-series workloads needing PostgreSQL and SQL compatibility | PostgreSQL SQL plus time-series features | Operate PostgreSQL-compatible infrastructure | Check current edition and service terms |
| ClickHouse | Column-oriented analytics | High-volume analytical queries | Analytical SQL and columnar scans | Cluster design and data lifecycle matter | Check current license and hosted terms |
| OpenSearch | Search and analytics | Full-text search, logs and faceting | Index and search APIs | Shard, index and retention operations | OpenLogic reported 11.17% usage in its 2025 survey |
| Apache Solr | Lucene-based search | Search and retrieval applications | Full-text queries, ranking and faceting | Schema, indexing and cluster operations | Apache license family |
| Elasticsearch | Search and analytics | Search, logs and analytical exploration | Index and query APIs | Distributed shard and retention management | OpenLogic says its current license no longer meets OSI criteria |
| Apache Druid | Real-time analytical datastore | Aggregation-heavy event data | Fast dimensional aggregations | Ingestion, segment and cluster operations | Apache license family |
Relational SQL databases for application data
PostgreSQL: the broad default
PostgreSQL is a strong starting point for a new server application when you need relational integrity, rich SQL and room to extend. The PostgreSQL project highlights extensible data types, custom functions and integrations with multiple programming languages, and says it has become the open-source relational database of choice for many people and organisations. Its ecosystem supports common drivers, ORMs, GIS and JSON use cases without abandoning relational constraints.
Choose it when joins, transactions, reporting and evolving requirements matter more than a narrow single-purpose optimization. Plan backups, replication, upgrades, connection pooling and extension compatibility as part of production design.
MySQL
MySQL remains a mature choice for web and application workloads with extensive drivers, frameworks, documentation and managed hosting. Compare the exact edition, operational tooling, cloud support and license requirements with PostgreSQL and MariaDB before committing, especially if you depend on vendor-specific features.
MariaDB
MariaDB is a MySQL-compatible open-source branch with optional commercial support. MariaDB describes federation across heterogeneous databases, including Oracle, SQL Server and Db2, which can matter during migration or integration projects. Verify syntax, replication behavior and connector support for the versions you will run.
Firebird and H2
Firebird provides relational SQL for embedded and client/server deployments. H2 is Java-oriented and useful for development, tests and smaller applications. Treat H2 compatibility with a production database as a test strategy decision rather than assuming every SQL behavior is identical.
TiDB, CockroachDB and Percona Server for MySQL
TiDB is a distributed SQL option for teams that need horizontal scale while retaining a SQL interface. CockroachDB is another distributed-SQL project, but OpenLogic’s 2025 report says MongoDB, Elasticsearch and CockroachDB no longer meet the Open Source Initiative’s criteria under their current licenses; do not describe CockroachDB as unconditionally OSI open source. Percona Server for MySQL is a MySQL-compatible distribution to investigate when operational tooling and support are priorities.
Embedded and analytical engines
SQLite
SQLite is the practical embedded choice when a separate database server is unnecessary. It fits local desktop software, mobile apps, edge devices, tests and small single-process services. You get SQL and transactions with a file deployment, but must evaluate write concurrency, file locking, durability and backup workflows before using it for a multi-instance server workload.
DuckDB
DuckDB runs in-process and is designed for analytical work over local columnar data such as Parquet and CSV. It is useful for notebooks, data pipelines, embedded analytics and development environments where operating a cluster would add needless complexity. It is not a drop-in OLTP replacement for a multi-user transactional service.
ClickHouse
ClickHouse is a column-oriented analytical database for high-volume queries and aggregations. Use it beside an operational system when dashboards or event analysis need scan performance and the access pattern is predominantly analytical.
Document databases
MongoDB
MongoDB stores document-shaped data and can reduce impedance when application objects map naturally to JSON-like records. Model around access patterns, indexes and document growth rather than assuming flexible schema removes the need for governance. Its licensing status requires explicit review: OpenLogic’s 2025 report retains MongoDB in its survey because of its open-source history but says its current license no longer satisfies OSI criteria.
Apache CouchDB
CouchDB is a document database with replication-oriented use cases. It is worth considering when disconnected operation, synchronization or multi-site replication is central to the product rather than an afterthought.
FerretDB
FerretDB provides a MongoDB-protocol-compatible layer backed by PostgreSQL. It can suit a team that wants a document API while keeping PostgreSQL as the storage core, but adds a compatibility layer whose supported behavior must be checked against your drivers and queries.
Key-value, cache and in-memory systems
Redis and Valkey
Redis is commonly used for caching, sessions, counters, queues and other low-latency data-structure workloads. Valkey is a Redis-compatible open-source direction to evaluate after licensing changes in the Redis ecosystem. Decide whether data is disposable cache state or durable application state, then configure persistence, eviction, memory limits, replication and failover accordingly.
Memcached
Memcached is a simple distributed memory cache for reducing read pressure on a primary database. It is intentionally not a durable system of record: cache misses, evictions and node loss must be safe for the application.
KeyDB and Redict
KeyDB and Redict appear in current ecosystem surveys as Redis-family alternatives. Investigate project activity, compatibility and licenses at the time you deploy; do not infer long-term maintenance from a survey mention alone.
Distributed writes, graphs and time series
Apache Cassandra and ScyllaDB
Cassandra is a distributed wide-column store for high-write, multi-node workloads. You design tables around partition keys and known query paths, then plan consistency, repair, compaction, capacity and multi-region behavior. ScyllaDB offers Cassandra compatibility and is worth investigating when latency and resource efficiency are key requirements. Neither is a casual replacement for relational joins.
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Neo4j models entities and relationships as a graph, making traversals natural for recommendations, identity resolution, fraud paths and network analysis. It is compelling when relationship queries dominate; storing ordinary CRUD records in a graph can add unnecessary modeling and operational overhead.
InfluxDB and Timescale
InfluxDB targets metrics, events and telemetry with time-oriented storage and retention concepts. Timescale builds on PostgreSQL for teams that want PostgreSQL compatibility and SQL alongside time-series features. Choose based on query patterns, retention and downsampling requirements, ingestion shape and the team’s PostgreSQL operating experience.
Search and event analytics
OpenSearch, Solr and Elasticsearch
OpenSearch and Apache Solr are search and analytics platforms for full-text retrieval, ranking, faceting and log exploration. Elasticsearch is also widely used for these workloads, but its current license needs the same OSI qualification noted above. Search indexes are usually derived data: keep the authoritative record elsewhere, define reindexing procedures and budget for shard, segment, mapping and retention operations.
Apache Druid and the Hadoop ecosystem
Apache Druid is a real-time analytical datastore for aggregation-heavy event data. Apache Hadoop ecosystem components are relevant when you are building a distributed big-data platform rather than a conventional transactional application. Use them only when data volume, batch processing or platform requirements justify their operational footprint.
What adoption surveys can—and cannot—tell you
OpenLogic’s 2025 survey reported these respondent percentages: PostgreSQL 51.06%; MySQL 36.70%; MariaDB 30.85%; SQLite 30.32%; MongoDB 29.79%; Elasticsearch 23.94%; Redis, Valkey, KeyDB and Redict combined 23.40%; OpenSearch 11.17%; Cassandra 10.64%; Neo4j 4.26%; and CockroachDB 2.66%. These figures describe that survey’s respondents, not global market share or proof that one engine is technically best.
MariaDB’s 2025 survey likewise identified PostgreSQL, SQLite and MySQL as the leading named open-source relational responses, with additional mentions including CouchDB, Elastic, Redis, Cassandra, ClickHouse, CockroachDB, InfluxDB and DuckDB. Treat both surveys as directional evidence and recheck current project activity before selecting a dependency.
License and hosting checks before you commit
- Read the current license for the exact server, client, extension and connector versions you will distribute.
- Check whether your deployment model—internal service, SaaS, embedded redistribution or appliance—triggers additional obligations.
- Review managed-service terms separately; a provider’s offering may not have the same terms as self-hosted software.
- Confirm backup export, restore testing, monitoring, security patches and upgrade paths.
- Record the decision and a fallback migration path in the architecture documentation.
“Open source” is not a permanent label. OpenLogic’s 2025 report specifically says MongoDB, Elasticsearch and CockroachDB no longer meet OSI criteria under their current licenses, despite their open-source histories.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical decision path
- Name the dominant workload: transactional, analytical, search, graph, time series, cache or embedded.
- Decide whether a server is acceptable: if not, start with SQLite or DuckDB where the workload fits.
- For general server SQL, shortlist PostgreSQL, MySQL and MariaDB: compare extensions, compatibility, hosting, team skills and license terms.
- Add specialization only for a measurable requirement: Redis/Valkey for low-latency cache, Cassandra/ScyllaDB for distributed writes, Neo4j for relationship traversal, InfluxDB/Timescale for time series, ClickHouse/DuckDB for analytics, or OpenSearch/Solr for search.
- Validate with production-shaped tests: realistic data volume, query mix, failure recovery, backup restore and peak concurrency matter more than synthetic vendor claims.
- Recheck versions and terms immediately before launch: licenses, hosted availability and project activity change.
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Should a new web application start with PostgreSQL or MySQL?
Shortlist both, then decide using required extensions, SQL compatibility, team expertise, hosting choices, backup tooling and current license terms. PostgreSQL is a broad default, not a universal winner.
Can SQLite handle a production application?
Yes for local, mobile, edge, test and small single-process workloads. Evaluate write concurrency, file locking, backup and multi-instance requirements before using it as a shared server database.
Do I need MongoDB if my data is JSON?
Not necessarily. PostgreSQL can store and query JSON while retaining relational constraints. Choose a document engine when document access patterns and operational trade-offs justify it.
Is Redis a replacement for my primary database?
Usually no. Redis or Valkey is commonly a cache, session store or low-latency data service. Define persistence and recovery requirements before treating in-memory data as durable.
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Review them when selecting versions, changing deployment or managed providers, and before release. License terms and hosted-service conditions can change.
Quick Recap
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