Visibility in this ranking can be paid for. Payment moves a vendor's position within the
shortlist; it never adds a vendor, and it never changes a word of the review. The largest vendors in database software
cannot hold places 1 to 3. Places 1 to 3 go to challengers, vendors outside the best-known brands in a category,
wherever the category has them; the established names follow from place 4 in their ranked order. How it works: placement disclosure ·
editorial process.
The 12 tools, reviewed
#1 Supabase
Postgres with authentication, APIs and storage bundled in · Singapore · supabase.com
Hosted Postgres Backend platform Open source core
Supabase earns first place because it removes the most decisions for a small team without hiding the database. You get a standard Postgres instance, then add login, an API layer, file storage, realtime subscriptions and vector search from the same dashboard.
- Pricing: Flat monthly + compute add-ons. Free plan at $0 (500 MB database, 50,000 monthly active users). Free plan: free plan.
- Best for: Small teams building a web or mobile app
- Strengths: Postgres database; Authentication; Data APIs.
Where it falls short
The free plan pauses a project after a week of inactivity and allows only two active projects, so it is a development tier, not a hosting plan.
Wrong for
Teams that want a bare database with no bundled authentication or API layer, and large enterprises that need dedicated infrastructure from day one.
Visit Supabase →
#2 PostgreSQL
The open source relational database behind half this list · Canada · postgresql.org
Open source Relational SQL Self-hosted
PostgreSQL takes second place because it is the safest default for business data. The project's own pages describe nearly 40 years of development, ACID compliance since 2001 and an extension system that lets you define data types, functions and add-ons such as PostGIS.
- Pricing: Open source (free). Free to download and use under the PostgreSQL License, with no vendor charge; hosting and operations are your own cost. Free plan: open source.
- Best for: Teams with someone to run servers
- Strengths: ACID-compliant transactions; Custom data types and functions; Extensions such as PostGIS.
Where it falls short
There is no company behind it to call, no bundled dashboard, no automatic scaling and no hosted free tier from the project.
Wrong for
Teams without an operations person and buyers who need a contractual service level.
Visit PostgreSQL →
#3 Neon
Serverless Postgres with scale to zero and branches · United States · neon.com
Serverless Postgres Branching Usage billing
Neon sits third because it is the cleanest way to pay for Postgres by what you use. Compute scales automatically and idles to zero, storage is billed per GB-month, and branching lets you copy a production database for a test in seconds instead of hours.
- Pricing: Usage-based. Free at $0 (100 projects, 1 GB storage per project). Free plan: free plan.
- Best for: Developers wanting usage-billed Postgres
- Strengths: Autoscaling compute; Scale to zero; Database branching.
Where it falls short
Ownership has changed: the terms now name Databricks, Inc. as the parent, and the product page frames it around the Lakebase brand, so the roadmap follows a larger company's priorities.
Wrong for
Buyers who want a fixed monthly bill and one bundled backend, and anyone uneasy about a roadmap steered by a data-platform parent.
Visit Neon →
#4 MongoDB
Document database with a managed cloud service · United States · mongodb.com
Document database Cloud and self-managed Search and vectors
MongoDB ranks fourth because for genuinely document-shaped data nothing else on this list fits as naturally. Records are stored as documents, the Atlas cloud service is pitched as deployable on any cloud, and the pricing page spans a free 512 MB cluster, a capped Flex tier at up to $30 a month and dedicated clusters with published hourly rates.
- Pricing: Usage-based + free tier. Atlas Free at $0 (512 MB). Free plan: free plan.
- Best for: Teams whose records vary in shape
- Strengths: Document model; Atlas managed service; Vector Search.
Where it falls short
Relational joins are not the document model's strength, and a data model designed loosely in week one can turn into inconsistent records by year two.
Wrong for
Teams with orders, invoices and accounting data that join across tables, and companies that need a permissive open source licence.
Visit MongoDB →
#5 Firebase
Google's app backend with document databases and auth · United States · firebase.google.com
Backend as a service Document database Google Cloud
Firebase takes fifth place, and as a Google platform it cannot rank higher on this list. For a mobile team with no backend engineer it remains one of the fastest ways to ship: Firestore and the Realtime Database sync to clients, Authentication handles sign-in, and the free Spark plan has daily quotas generous enough for a prototype.
- Pricing: Usage-based. Spark plan at no cost with daily quotas (Firestore: 1 GiB stored, 50,000 reads and 20,000 writes per day). Free plan: free plan.
- Best for: Mobile teams without a backend developer
- Strengths: Cloud Firestore; Realtime Database; Authentication.
Where it falls short
Costs on Blaze scale with every document read and write, so an inefficient query or a runaway listener can produce a surprise bill.
Wrong for
Teams with relational data, complex reporting or a plan to avoid dependence on one cloud.
Visit Firebase →
#6 MariaDB
MySQL-compatible open source database with paid platforms · United States · mariadb.com
MySQL-compatible Open source Managed cloud
MariaDB lands sixth because it is the practical answer for the large number of applications that already speak MySQL. Its own pages describe it as created by MySQL's original developers, compatible with MySQL, and the default in most Linux distributions.
- Pricing: Open source + quote only. Community Server is free under GPL version 2; MariaDB Cloud and Enterprise Platform pricing is handled through sales on the pages we fetched. Free plan: open source.
- Best for: LAMP-stack shops and MySQL migrations
- Strengths: Community Server; MariaDB Cloud; Serverless option.
Where it falls short
Cloud and enterprise prices are not published on the pages we read, so budgeting needs a sales call.
Wrong for
Greenfield projects with no MySQL history and buyers who need a price list before talking to anyone.
Visit MariaDB →
#7 SQLite
Public domain database library in a single file · United States · sqlite.org
Public domain Embedded Serverless
SQLite is seventh because it solves a narrower problem than the others, and solves it better than any server. It runs inside your application as a library, needs no configuration, keeps the whole database in one cross-platform file and is dedicated to the public domain.
- Pricing: Free (public domain). Free, dedicated to the public domain; optional paid support and SQLite Consortium membership are sold by Hwaci. Free plan: open source.
- Best for: Embedded apps and small single-server sites
- Strengths: Zero configuration; ACID transactions; Single-file database.
Where it falls short
SQLite's own guidance says to use a client/server engine when many programs send SQL to one database over a network, for write-intensive websites and for sites that need multiple servers.
Wrong for
Multi-server web applications, anything needing role-based access inside the database, and teams expecting managed scaling.
Visit SQLite →
#8 PlanetScale
Managed MySQL-compatible Vitess and Postgres with sharding · United States · planetscale.com
Vitess Sharding Managed Postgres
PlanetScale comes eighth because its strength is scale rather than starting small. The company says its team includes most of the core Vitess maintainers, and it sells Vitess clusters with horizontal sharding plus Postgres starting at $5 a month for a single node.
- Pricing: Resource-based. Resource-based billing: PlanetScale Postgres single node from $5 per month, Metal with local NVMe from $50 per month, high availability as one primary plus two replicas. Free plan: none.
- Best for: High-traffic apps needing horizontal scaling
- Strengths: Vitess MySQL-compatible clusters; Postgres single node; Metal NVMe storage.
Where it falls short
There is no free plan, so even a prototype pays something, and pricing depends on cluster size, VTGate configuration, storage and network use, which takes effort to estimate. Sharding and Vitess add concepts that small teams rarely need.
Wrong for
Hobby projects, early prototypes and teams that want a zero-dollar start.
Visit PlanetScale →
#9 CockroachDB
Distributed SQL that survives regional failures · United States · cockroachlabs.com
Distributed SQL Multi-region Self-hosted option
CockroachDB ranks ninth because it solves a problem most small businesses do not yet have, and solves it well. The Standard tier offers a 99.99 percent availability SLA across one or several regions, Mission Critical raises that to 99.999 percent on dedicated infrastructure, and the pricing page publishes the hourly rate and a worked monthly estimate.
- Pricing: Usage-based (vCPU-hour). Standard at $0.092 per vCPU-hour (about $203 per month for 2 vCPU and 100 GB). Free plan: free trial.
- Best for: Apps needing multi-region uptime
- Strengths: Multi-region clusters; 99.99% availability SLA; Row-level security.
Where it falls short
The entry price of about $203 a month for two vCPUs is far above a small managed Postgres.
Wrong for
Single-region applications and small teams whose data fits one server.
Visit CockroachDB →
#10 Redis
In-memory data store for caches, sessions and queues · United States · redis.io
In-memory Caching Source-available
Redis sits tenth because it complements a database more often than it replaces one. Its own pages position it for caching, session storage, streaming and leaderboards at sub-millisecond speed, and the price ladder is transparent: a free 30 MB database, Essentials from about $5 a month, and Pro with active-active replication and a $200 minimum.
- Pricing: Usage-based + free tier. Redis Cloud Free at $0 (30 MB). Free plan: free plan.
- Best for: Caching and real-time data beside a main database
- Strengths: Sub-millisecond reads and writes; Caching and sessions; Streams and messaging.
Where it falls short
Data lives in RAM, which costs far more per gigabyte than disk, so large primary datasets become expensive. Redis Flex trades some speed for flash storage to ease this, but it is another tier to price.
Wrong for
Teams looking for a single system of record for orders or accounts, and buyers who need a strictly open source licence.
Visit Redis →
#11 ClickHouse
Column store for real-time analytics at large scale · United States · clickhouse.com
Analytics Column store Open source
ClickHouse is eleventh because it is a specialist rather than a general application database, and a very good one. It is an open source OLAP database, described by the company as built for real-time analytics over large volumes, sold as a cloud service with storage and compute metered separately and scaled to zero when idle.
- Pricing: Usage-based. ClickHouse Cloud Basic and Scale bill storage at $25.30 per TB per month and compute from $0.2181 per unit-hour. Free plan: free trial.
- Best for: Analytics and observability workloads
- Strengths: Columnar OLAP engine; ClickHouse Cloud on AWS, GCP and Azure; Bring Your Own Cloud.
Where it falls short
As an OLAP database it is not positioned as a transactional store, so it should not be the primary home of orders or accounts. Cost depends on compute units, which are harder to forecast than a flat plan.
Wrong for
Teams that need one database for transactions, accounts and a web backend.
Visit ClickHouse →
#12 Amazon DynamoDB
Serverless NoSQL key-value database from AWS · United States · aws.amazon.com
Serverless NoSQL AWS Key-value
DynamoDB takes twelfth place as an Amazon service that is excellent at a narrow job and costly to leave. AWS describes it as a serverless, fully managed NoSQL database with single-digit millisecond performance at any scale, with no infrastructure to manage and billing either per request or per provisioned capacity unit.
- Pricing: Usage-based. Billed per read and write request unit on demand, or per provisioned capacity unit per hour, plus storage; a free tier exists. Free plan: free plan.
- Best for: AWS-centric teams with predictable access patterns
- Strengths: On-demand capacity; Provisioned capacity; Global tables.
Where it falls short
Access patterns must be designed up front, because ad hoc queries and joins are not what it does, and the data model and API exist only on AWS.
Wrong for
Teams that want SQL, flexible reporting or portability off AWS, and small businesses without an AWS specialist. Supabase or PostgreSQL gives a simpler and more portable data layer.
Visit Amazon DynamoDB →
Questions and answers
What is the best database software in 2026?
Supabase ranks first of 12, best for small teams building a web or mobile app. PostgreSQL is second (teams with someone to run servers) and Neon third (developers wanting usage-billed Postgres). Places 1 to 3 go to challengers, vendors outside the best-known brands, wherever the category has them.
Should a small team start on Postgres or MongoDB?
Start with Postgres unless your records truly lack a stable shape.
What is the difference between a database and a backend-as-a-service?
A database stores and queries data; a backend-as-a-service wraps one with authentication, file storage, serverless functions and an automatic API. Supabase and Firebase are the two examples here.
Is SQLite good enough for production?
Yes, for the right workload. SQLite is an in-process library whose own pages describe a maximum database size of 281 terabytes and a 1 gigabyte row limit, and it runs inside the application with no server to manage.
Do I need a managed database or can I run my own?
You can run your own if someone on the team owns backups, upgrades and failover. PostgreSQL, MariaDB Community Server and SQLite are free to install and well documented, so the cost is staff time rather than licences.
What does a free database tier really limit?
Limits differ more than the word free suggests. Supabase's free plan allows 500 MB of database storage and pauses projects after a week of inactivity. Neon allows 1 GB per project with 100 compute-hours a month.
How hard is it to move off Firebase?
Harder than moving between SQL databases, because Firestore and the Realtime Database use their own data model and SDKs that no other product here implements.
Which of these databases are truly open source?
PostgreSQL is released under the PostgreSQL License and SQLite is dedicated to the public domain. MariaDB Community Server is under the GPL version 2, and ClickHouse's repository carries the Apache 2.0 licence.
When does a distributed database like CockroachDB make sense?
When downtime in one region must not stop the business and a single primary server is no longer acceptable.
Is Redis a database or a cache?
Mostly a cache and fast data store, though it can serve as a database for narrow jobs.
What does it cost to leave a database?
Three things: engineering time to rewrite queries and application code, a period of running two systems side by side, and egress fees for moving the data out of a cloud region.
