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Expert GuideUpdated February 2026

Best Database Software in 2026

From simple data storage to enterprise-scale solutions

By · Updated

TL;DR

PostgreSQL is the best general-purpose database—open source, powerful, and suitable for most applications. For simpler projects, SQLite requires zero setup. If you want managed hosting, PlanetScale (MySQL) or Supabase (PostgreSQL) handle operations for you. MongoDB remains popular for document data, but SQL databases handle most use cases better.

Choosing a database is one of the most consequential technical decisions you'll make. Get it wrong, and you're looking at painful migrations, performance issues, and scalability nightmares.

The good news: the field is clearer than it used to be. Here's an honest breakdown covering everything from SQLite to enterprise Oracle.

Understanding Database Types

Databases store, organize, and retrieve data. Relational databases (SQL) use tables and relationships—great for structured data and complex queries. Document databases (NoSQL) store flexible JSON-like documents—good for varying data structures. Key-value stores offer simple, fast lookups. The right choice depends on your data and access patterns.

Why Your Database Choice Matters

Your database affects application performance, developer productivity, hosting costs, and scalability. Switching databases later is possible but painful. The right choice from the start saves months of work and prevents architectural headaches down the road.

Key Features to Look For

ACID ComplianceEssential

Guarantees data consistency and reliability

Query PerformanceEssential

Fast retrieval and manipulation of data

ScalabilityEssential

Ability to handle growing data and traffic

Backup & RecoveryEssential

Protect against data loss

Replication

Distribute data across multiple servers

Full-Text Search

Search text content efficiently

JSON Support

Store and query flexible data structures

Managed Hosting Options

Let someone else handle operations

Geographic Distribution

Data centers in multiple regions

How to Choose

What's your data structure? Highly relational data favors SQL; varied documents favor NoSQL
What queries will you run? Complex joins favor SQL; simple lookups work anywhere
Scale expectations? Most projects never outgrow a single PostgreSQL server
Team expertise? Use what your team knows unless there's a compelling reason not to
Self-hosted or managed? Managed databases save operations time but cost more

Evaluation Checklist

Verify your ORM/driver supports the database—check Prisma, TypeORM, or Sequelize compatibility and feature support
Test query performance with realistic data volumes—load 100K+ rows and benchmark your most common queries
Check managed hosting options and pricing at your expected scale—Supabase free, Neon free tier, Railway $5/mo
Verify backup and point-in-time recovery capabilities—how far back can you restore, and how quickly?
Test connection pooling behavior under concurrent load—serverless databases like Neon and PlanetScale handle this differently

Pricing Overview

Supabase (PostgreSQL)

Full-stack apps with built-in auth, storage, and auto-generated APIs

Free (500MB, 2 projects) / Pro $25/mo (8GB, daily backups)
Neon (PostgreSQL)

Serverless PostgreSQL with branching and scale-to-zero

Free (512MB) / Scale $19/mo (10GB, autoscaling)
PlanetScale (MySQL)

MySQL with database branching and zero-downtime schema changes

Scaler $29/mo (10GB) / Team $39/mo (unlimited branches)

Top Picks

Based on features, user feedback, and value for money.

Any application that needs a reliable, feature-rich database—the default choice

+Advanced features: JSONB, full-text search, GIS with PostGIS, 100+ extensions
+Excellent managed options: Supabase (free), Neon (free), Railway ($5/mo), RDS (~$15/mo)
+Strong community with decades of production use—every edge case is documented
Default configuration is not optimized—requires tuning shared_buffers, work_mem, and connection limits
More complex than MySQL to tune for specific workloads

Full-stack teams wanting managed PostgreSQL with a Firebase-like developer experience

+Full PostgreSQL power—not a subset. You can use any extension, write raw SQL
+Auto-generated REST and GraphQL APIs from your schema—saves weeks of backend development
+Built-in auth (email, OAuth, magic links), file storage, and edge functions
Pro plan at $25/mo required for daily backups and 8GB storage—free tier has no backups
Some vendor lock-in with Supabase-specific auth and storage APIs

Teams wanting MySQL with Git-like branching for safe schema changes

+Database branching lets you test schema changes in isolation—like Git for databases
+Zero-downtime schema changes with online DDL—no maintenance windows needed
+Serverless scaling handles traffic spikes automatically
MySQL only—no PostgreSQL option. If you want Postgres features, look elsewhere
No foreign key constraints enforced at database level—handled at application layer

Mistakes to Avoid

  • ×

    Choosing MongoDB because 'NoSQL is faster' — For most web applications, PostgreSQL with proper indexes is equally fast and gives you JOIN capability, transactions, and data integrity. MongoDB makes sense for truly document-oriented data, but most apps have relational data

  • ×

    Over-engineering for scale you'll never reach — A single PostgreSQL server handles millions of rows and thousands of concurrent users. Most apps never outgrow one well-tuned instance. Don't shard or distribute until you have actual scaling problems

  • ×

    Not setting up backups immediately — Data loss is permanent and devastating. Enable automated backups before writing any data you care about. Supabase Pro includes daily backups; self-hosted needs pg_dump or WAL archiving

  • ×

    Neglecting database indexes — The #1 cause of slow queries is missing indexes. Add indexes on columns used in WHERE clauses, JOIN conditions, and ORDER BY. Use EXPLAIN ANALYZE to verify queries use indexes

  • ×

    Using a database because it's trendy — CockroachDB, TiDB, and other distributed databases solve problems 99% of applications don't have. Use PostgreSQL until you have concrete evidence that you need something more specialized

Expert Tips

  • When in doubt, choose PostgreSQL — It handles relational data, JSON documents, full-text search, geospatial queries, and time-series data. One database for almost any use case

  • SQLite is underrated for production — SQLite handles read-heavy workloads with low-to-moderate write traffic excellently. Litestream adds replication. Many successful apps (Basecamp's HEY, many Rails apps) use SQLite in production

  • Start with a managed free tier — Supabase Free (500MB), Neon Free (512MB), and Railway ($5/mo with credits) let you build without ops overhead. Upgrade to self-hosted only when costs justify the operational burden

  • Learn EXPLAIN ANALYZE early — Reading query plans is the single most impactful database skill. It shows exactly why a query is slow and what index would fix it. Worth a few hours of learning

  • Set up connection pooling from day one — Tools like PgBouncer (self-hosted) or Supabase's built-in pooler prevent connection exhaustion under load. Essential for serverless deployments

Red Flags to Watch For

  • !No automated backup option or point-in-time recovery—one mistake or corruption event and your data is gone permanently
  • !Vendor-specific SQL extensions that make migration difficult—check for standard SQL compliance
  • !Per-query or per-row pricing that makes costs unpredictable—a single bad query or traffic spike could generate a massive bill
  • !No connection pooling built in—critical for serverless/edge deployments where connection limits are easily hit

The Bottom Line

PostgreSQL is the right choice for most applications—powerful, reliable, and well-supported everywhere. Supabase (free tier) for the easiest managed PostgreSQL with auth and APIs included. PlanetScale ($29/mo) only if you specifically need MySQL with branching workflows. SQLite for smaller projects that don't need a database server.

Frequently Asked Questions

Should I use SQL or NoSQL?

SQL (PostgreSQL/MySQL) for most applications. NoSQL makes sense for specific use cases like caching (Redis), time-series (InfluxDB), or truly unstructured documents. The flexibility of NoSQL is often outweighed by the query power of SQL.

Is MongoDB a good choice?

It can be, but it's often chosen for wrong reasons. MongoDB works well for document-centric applications with varying schemas. For most web apps with relational data, PostgreSQL is better—and PostgreSQL's JSON support handles flexible data well.

Should I self-host or use managed hosting?

Use managed hosting unless you have strong DevOps skills and time. Database operations (backups, updates, monitoring, scaling) are complex. Services like Supabase, PlanetScale, or AWS RDS handle this for you.

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