Databases · head to head
TiDB vs Zilliz

TiDB
Databases
Apache 2.0 distributed SQL database with MySQL wire compatibility and a separate columnar replica for analytical queries.
- From
- Free
- Rated
- -

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: TiDB a production cluster needs several placement driver, storage and SQL nodes before it is fault tolerant, so the minimum viable footprint is far larger than a MySQL server and TiDB is never the economical choice for a small database.; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: TiDB covers MySQL wire compatibility, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which TiDB and Zilliz actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in TiDB
- MySQL wire compatibility
- Horizontal write scaling
- Distributed ACID transactions
- TiFlash columnar replica
- Automatic rebalancing
- Raft replication
- Apache 2.0 licence
- Online schema change
Only in Zilliz
- Vector indexing
- Distributed architecture
- SQL interface
- Tensor support
- Real-time search
- Cloud-native
- Open-source compatible
What people use each for
The jobs each tool is most often brought in to do.
TiDB
- A MySQL workload that has hit the write ceiling of a single primary and would otherwise need an application-level sharding layernot Zilliz
- Reporting that must run against current transactional data, where the columnar replica removes the delay and the cost of an ETL pipelinenot Zilliz
- Multi-region deployments needing a single logical database with automatic failover rather than manual primary promotionnot Zilliz
- Migrating off a sharded MySQL estate where the sharding logic in the application has become the main source of bugs and operational toilnot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot TiDB
- Implement semantic search over documentsnot TiDB
- Create multimodal search with text and imagesnot TiDB
- Power recommendation engines with vector similaritynot TiDB
- Enable similarity search on user embeddingsnot TiDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
TiDB
- A production cluster needs several placement driver, storage and SQL nodes before it is fault tolerant, so the minimum viable footprint is far larger than a MySQL server and TiDB is never the economical choice for a small database.
- Every transaction takes a timestamp from the placement driver and crosses the network to storage nodes, so simple point queries are slower than on single-node MySQL and latency-sensitive paths need to be measured, not assumed.
- MySQL compatibility is at the wire and dialect level but not complete; stored procedures, triggers and events are not supported, so an application that pushed logic into the database cannot simply be repointed.
- The columnar replica is an extra full copy of the data on its own nodes, so hybrid analytics roughly doubles storage and adds hardware that must be sized and paid for separately.
- Operating it well requires cluster-specific expertise in TiUP or the Kubernetes operator, region hot spots, and rebalancing behaviour, so the licence is free but the running cost includes an engineer who understands distributed storage.
Zilliz
- Pricing structure not publicly disclosed, requires sales contact
- Operational complexity for self-hosted Milvus deployments
- Learning curve for those unfamiliar with vector databases
- Limited built-in analytics compared to some alternatives
Pricing, plan by plan
TiDB
Free- ServerlessFree
- 5GB storage
- 50M request units
- Free forever tier
- Dedicated$250/month
- Dedicated resources
- SLA guarantees
- Enterprise support
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose TiDB if
- You need mysql wire compatibility.
- You want to start without paying.
- You work on Cloud, AWS, Azure, Google Cloud Platform, Self-managed.
- You also want horizontal write scaling.
Choose Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Questions people ask
- Is TiDB or Zilliz better?
- Neither clearly leads. TiDB starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, TiDB or Zilliz?
- TiDB starts at Free and Zilliz at Free.
- Does TiDB or Zilliz run on more platforms?
- TiDB runs on Cloud, AWS, Azure, Google Cloud Platform, Self-managed. Zilliz runs on Cloud, Self-hosted.
- Can I use TiDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is TiDB best used for?
- TiDB is most often used for a mysql workload that has hit the write ceiling of a single primary and would otherwise need an application-level sharding layer, reporting that must run against current transactional data, where the columnar replica removes the delay and the cost of an etl pipeline, multi-region deployments needing a single logical database with automatic failover rather than manual primary promotion, migrating off a sharded mysql estate where the sharding logic in the application has become the main source of bugs and operational toil. Of those, a mysql workload that has hit the write ceiling of a single primary and would otherwise need an application-level sharding layer and reporting that must run against current transactional data, where the columnar replica removes the delay and the cost of an etl pipeline are not what Zilliz is typically brought in for.
- What can TiDB do that Zilliz cannot?
- TiDB covers MySQL wire compatibility, Horizontal write scaling, Distributed ACID transactions, TiFlash columnar replica. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
TiDB: Is TiDB a drop-in replacement for MySQL?
At the protocol and dialect level it is close, and most applications connect unchanged. Stored procedures, triggers and events are not supported, and latency characteristics differ, so it needs testing rather than assumption.
Zilliz: What is the difference between Milvus and Zilliz Cloud?
Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.
SourceTiDB: What licence is it under?
Apache 2.0, for both TiDB and the underlying TiKV storage engine. TiKV is a graduated CNCF project, which is a meaningful governance signal in a market where several competitors moved to source-available licences.
Zilliz: How many vectors can Zilliz handle?
Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.
SourceTiDB: Do I need TiFlash?
Only for analytical queries. It is an optional columnar replica; without it TiDB is a distributed transactional database. With it you get analytics on live data at the cost of an additional full copy.
Zilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceTiDB: Is the managed cloud the same software?
TiDB Cloud runs the same engine, with the control plane, scaling and operational tooling provided as a service. The entry tier is metered differently from a dedicated cluster, so the cost model rather than the engine is what changes.
Zilliz: What pricing does Zilliz Cloud offer?
Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.
SourceTiDB: When is TiDB the wrong choice?
When the database is small enough for one server, when latency on single-row lookups is the primary constraint, or when the application depends on MySQL stored procedures and triggers.
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