Best Database Solutions 2026
SQL vs NoSQL is the wrong question. Pick the right database based on query patterns, consistency needs, and operational complexity. We help you decide.
MG Software defaults to Supabase as our database solution. The combination of a fully managed PostgreSQL database with built-in authentication, realtime functionality, and auto-generated APIs significantly accelerates our development. For projects with serverless requirements, Neon is an excellent alternative.
The right database choice is fundamental to the performance, scalability, and reliability of your application. In 2026 there are more options than ever, from traditional relational databases to specialized NoSQL solutions and fully managed cloud databases. We compare the most important options to help you make the right choice for your project.
How did we select these tools?
We benchmarked each database on query latency, write throughput, connection pooling, and migration tooling using a standardized e-commerce dataset with 2M rows. Developer experience, managed hosting options, and long-term operational cost were scored independently by two engineers.
How do we evaluate these tools?
- Performance and scalability under production workloads
- Developer experience: tooling, ORM support, and documentation
- Managed hosting options and operational simplicity
- Cost and flexibility of the pricing model
1. Supabase (PostgreSQL)
Open-source Firebase alternative built on PostgreSQL. Supabase offers a complete backend with database, authentication, realtime subscriptions, storage, and edge functions, all from a single dashboard.
Pros
- +Fully managed PostgreSQL with all advanced features
- +Built-in authentication, storage, and realtime
- +Auto-generated REST and GraphQL APIs
- +Generous free tier for prototypes and small projects
Cons
- -Vendor lock-in when using Supabase-specific features
- -Edge functions are still more limited than dedicated platforms
- -Complex queries require direct SQL knowledge
2. PlanetScale (MySQL)
Serverless MySQL platform based on Vitess, the database technology behind YouTube. PlanetScale offers schema branching, zero-downtime migrations, and automatic scalability.
Pros
- +Schema branching for safe database migrations
- +Zero-downtime schema changes in production
- +Automatic horizontal scaling via Vitess
- +Excellent developer experience with CLI and dashboard
Cons
- -No support for foreign key constraints
- -MySQL limitations compared to PostgreSQL
- -Free tier recently discontinued
3. MongoDB Atlas
Fully managed cloud version of MongoDB, the most popular document database. Atlas offers flexible schemaless data models, horizontal scalability, and a powerful aggregation framework.
Pros
- +Flexible schema, ideal for rapidly changing data models
- +Powerful aggregation framework for complex queries
- +Multi-cloud availability (AWS, Azure, GCP)
- +Excellent search functionality with Atlas Search
Cons
- -No ACID transactions across multiple documents (by default)
- -Higher storage costs than relational alternatives
- -Can be overkill for simple relational data
4. Neon (Serverless PostgreSQL)
Serverless PostgreSQL platform that automatically scales to zero and offers database branching. Neon combines the power of PostgreSQL with the simplicity of a serverless architecture.
Pros
- +Automatic scale-to-zero, pay only when in use
- +Database branching for development and testing
- +Fully compatible with the PostgreSQL ecosystem
- +Quick setup with a generous free tier
Cons
- -Cold starts on inactive databases
- -Relatively new platform, less proven at scale
- -Fewer additional services than Supabase
Which tool does MG Software recommend?
MG Software defaults to Supabase as our database solution. The combination of a fully managed PostgreSQL database with built-in authentication, realtime functionality, and auto-generated APIs significantly accelerates our development. For projects with serverless requirements, Neon is an excellent alternative.
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