Database Comparisons
How TiDB Compares
Explore head-to-head comparisons against MySQL, Aurora, CockroachDB, YugabyteDB, and PostgreSQL. Plus shortlist guides for OLTP, HTAP, SaaS, and AI workloads. Written by engineers, reviewed in production.
Detailed Workload-Driven Comparisons
Each comparison covers architecture, scalability, ACID behavior, HA, TCO, and a clear verdict for your use case.
TiDB vs MySQL
Scale-out writes, HTAP, and distributed transactions vs. MySQL's single-primary simplicity. The definitive guide for teams hitting write limits or approaching sharding.
TiDB vs Amazon Aurora
Cloud-native distributed SQL vs. AWS's managed MySQL and Postgres. Covers TCO at scale, multi-region writes, HTAP, and what changes when Aurora's per-IO pricing meets your growth curve.
TiDB vs CockroachDB
Both are distributed SQL, but the architectural choices diverge fast. MySQL vs. PostgreSQL wire protocol, HTAP vs. OLTP-only, and how each handles Kubernetes operations and licensing.
TiDB vs YugabyteDB
Two open-source distributed SQL databases that look similar on paper. Differences emerge in HTAP support, MySQL vs. PostgreSQL compatibility, licensing, and operational footprint.
TiDB vs PostgreSQL
When Postgres hits its scaling limits (single-primary writes, vacuum overhead, sharding pain), distributed SQL becomes the conversation. Covers horizontal scaling, HTAP, and a realistic migration path.
TiDB vs Vitess
Vitess adds sharding on top of MySQL. TiDB replaces the stack entirely. If you're hitting MySQL's write limits and weighing your options, this covers what that difference means in practice: consistency, ops overhead, and which one fits your team.
Not Sure Which Database to Shortlist?
Coverage by workload, not by vendor. Each guide compares the leading options against the criteria that actually matter for that use case.
Best Distributed SQL Databases (2026)
A workload-first comparison of leading distributed SQL databases. Covers architecture, consistency guarantees, ecosystem fit, and when each is the right call.
Best Database for AI Agents (2026)
What agents actually need from a database: durable memory, vector search, ACID state, and the throughput to run hundreds in parallel. Compares TiDB, Pinecone, Redis, pgvector, Milvus, and MongoDB.
Best Vector Database for RAG (2026)
Retrieval quality, metadata filtering, hybrid search, and production readiness. Updated quarterly to reflect real vendor capability changes.
Best Databases for SaaS at Scale
Multi-tenant isolation, horizontal scaling, schema flexibility, and cost predictability for SaaS applications hitting growth inflection points.
Best Database for AI Applications
A practical comparison of 10 databases for RAG pipelines, vector search, and real-time AI workloads. Covers SQL support, ACID compliance, scalability, and when to use a unified platform vs. purpose-built tools.
Frequently Asked Questions
TiDB is an open-source distributed SQL database that uses the MySQL wire protocol, so many MySQL applications connect with no application code changes. The key difference is the scaling model: MySQL scales vertically on a single primary (with read replicas), while TiDB distributes both storage and compute across nodes. That means scale-out writes, ACID transactions, and real-time analytics (HTAP) in one system, without sharding.
See the full TiDB vs. MySQL comparison.
Built for Engineers Evaluating Distributed SQL
Vendor comparisons are usually rigged. Ours cover the tradeoffs honestly, flag where competitors win, and get updated when reality changes.
Tradeoffs, Not Feature Checklists
Reviewed by Engineers
Updated When Reality Changes
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