MySQL vs TDengine
Side-by-side comparison of features, pricing, ratings, and alternatives.
MySQL is a widely used open-source relational database that powers a huge portion of the web, known for speed, reliability, and broad hosting support. It remains a default for many web applications and CMSes.
TDengine is an open‑source time‑series database designed for massive IoT, industrial IoT, and big‑data workloads. It stores, compresses, and queries billions of data points per day with sub‑second latency. Its native SQL support, multi‑language client libraries, and lightweight footprint make it ideal for developers and data engineers building real‑time analytics pipelines on any platform.
Free community edition; paid enterprise editions available.
- Extremely widely supported
- Fast for reads
- Huge community
- Free community edition
- Free and open‑source with no licensing fees
- Optimized for high‑volume time‑series ingestion
- SQL compatibility reduces learning curve
- Multi‑language SDKs simplify integration
- Fewer advanced features than Postgres
- Licensing nuances (Oracle-owned)
- Some prefer MariaDB fork
- Self‑hosted deployment requires operational expertise
- Ecosystem is smaller than some commercial TSDBs
- Advanced analytics features are limited compared to specialized platforms
What reviewers say
MySQL Reviews
4.5 (4)Great database
Tried MySQL recently. Extremely widely supported. Minor gripe: fewer advanced features than postgres. Would recommend.
Great database
Been using MySQL for a while. Huge community. No real complaints. Would recommend.
Solid choice
Been using MySQL for a while. Fast for reads. Minor gripe: some prefer mariadb fork. Would recommend.
TDengine Reviews
No reviews yet.
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The Verdict
AI-generated from listing dataMySQL is the safer default for general relational workloads with broad support and a free community edition; TDengine excels only for high‑volume time‑series IoT data but requires more operational expertise.
Key differences
- •Data model: MySQL is a general‑purpose relational DB, TDengine is specialized for time‑series.
- •Performance focus: TDengine ingests millions of points per second; MySQL is fast for typical read‑heavy workloads.
- •Ecosystem: MySQL has a massive tooling and hosting ecosystem; TDengine’s ecosystem is smaller.
- •Storage efficiency: TDengine offers built‑in compression reducing storage up to 90%; MySQL has no such native compression.
- •Operational complexity: Both are self‑hosted, but TDengine’s distributed architecture demands more expertise.
Pricing & value
TDengine is completely free and open‑source; MySQL’s enterprise editions require paid licensing.
Ease of use / learning curve
MySQL’s ubiquitous documentation and community make it easier for most developers than TDengine’s newer ecosystem.
Features & depth
MySQL offers full relational features, replication, clustering, and a large ecosystem; TDengine is limited to time‑series functions.
Integrations & ecosystem
MySQL enjoys massive tooling, hosting, and language driver support; TDengine’s integrations are limited to a few SDKs.
Scalability
TDengine’s distributed architecture scales horizontally for massive sensor streams; MySQL scales but not as seamlessly for high‑write TS workloads.
Support
MySQL has extensive commercial support options and community forums; TDengine offers only email and documentation.
Security & privacy
Both are open‑source and self‑hosted; specific security features not detailed in facts.
Choose MySQL if…
Web developers needing a proven relational DB with broad tooling and optional paid support.
Choose TDengine if…
IoT or data‑engineer teams ingesting high‑volume sensor data and comfortable managing self‑hosted clusters.
Common questions
Is there any cost to use either product?
TDengine is free and open‑source; MySQL’s community edition is free, but enterprise editions require contacting sales for pricing.
Can I use standard SQL with both databases?
Yes. MySQL uses full SQL; TDengine supports ANSI‑SQL with time‑series extensions.
Which database handles massive sensor data ingestion better?
TDengine is optimized for high‑volume time‑series ingestion, capable of millions of points per second, whereas MySQL is not specialized for that workload.