Logging · head to head
InfluxDB vs Vitess

InfluxDB
Logging
Purpose-built time series database for metrics and events
- From
- Free
- Rated
- -

Vitess
Databases
Scalable database clustering system for horizontal scaling of MySQL
- From
- Free
- Rated
- -
The short version
- Each has a real cost: InfluxDB high-cardinality data causes memory pressure and performance degradation; Vitess vTGate scatter queries without sharding key incur significant performance penalties
- They diverge on capability: InfluxDB covers Time-series Storage, Vitess covers Horizontal Sharding.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which InfluxDB and Vitess actually diverge.
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).
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 InfluxDB
- Time-series Storage
- Flux Query Language
- High Write Throughput
- Data Compression
- Retention Policies
- Continuous Queries
- Built-in Dashboards
- Telegraf
Only in Vitess
- Horizontal Sharding
- Connection Pooling
- Query Routing
- Online Schema Changes
- Shard Management
- Replication Management
- Automated Failover
- MySQL
Both cover
- Grafana
- Prometheus
- Linux support
- Docker support
What people use each for
The jobs each tool is most often brought in to do.
InfluxDB
- Monitoringnot Vitess
- IoT datanot Vitess
- Financial datanot Vitess
- Log analyticsnot Vitess
- Observabilitynot Vitess
Vitess
- Transaction processingnot InfluxDB
- Data storagenot InfluxDB
- Application backendnot InfluxDB
- Reportingnot InfluxDB
- Data analyticsnot InfluxDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
InfluxDB
- High-cardinality data causes memory pressure and performance degradation
- No support for joins or transactions like relational databases
- Queries limited to 72-hour window in InfluxDB 3 OSS Core
- Clustering and authentication features absent from community version
Vitess
- VTGate scatter queries without sharding key incur significant performance penalties
- Foreign key constraints not enforced across shards, requiring application-level integrity handling
- Single primary per keyspace limits multi-region write capabilities
- Distributed transactions without proper sharding key routing suffer performance degradation
Pricing, plan by plan
InfluxDB
Free- Cloud Serverless FreeFree
- 5 MB writes per 5 minutes
- 300 MB queries per 5 minutes
- 30 day retention
- Cloud Serverless Usage-Based$undefined/mo
- 0.0025 USD per MB ingested
- 0.012 USD per 100 queries
- 0.002 USD per GB-hour storage
Vitess
FreeNo published plan breakdown. See the Vitess review.
Which should you pick?
Choose InfluxDB if
- You need time-series storage.
- You want to start without paying.
- You work on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
- You also want flux query language.
Choose Vitess if
- You need horizontal sharding.
- You want to start without paying.
- You work on Linux, macOS, Docker, Kubernetes.
- You also want connection pooling.
Questions people ask
- Is InfluxDB or Vitess better?
- Neither clearly leads. InfluxDB starts at Free and Vitess at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, InfluxDB or Vitess?
- InfluxDB starts at Free and Vitess at Free.
- Does InfluxDB or Vitess run on more platforms?
- InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure. Vitess runs on Linux, macOS, Docker, Kubernetes.
- Can I use InfluxDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is InfluxDB best used for?
- InfluxDB is most often used for monitoring, iot data, financial data, log analytics. Of those, monitoring and iot data are not what Vitess is typically brought in for.
- What can InfluxDB do that Vitess cannot?
- InfluxDB covers Time-series Storage, Flux Query Language, High Write Throughput, Data Compression. Vitess covers Horizontal Sharding, Connection Pooling, Query Routing, Online Schema Changes. Both handle Grafana, Prometheus, Linux support, Docker support.
Answered from the vendors’ own pages
InfluxDB: Is there a free tier and what are the limits?
InfluxDB 3 Core OSS is free forever for local development and prototyping. Cloud Serverless free tier includes 5 MB writes per 5 minutes, 300 MB queries per 5 minutes, 30 day retention, and 2 databases.
SourceVitess: Is Vitess free to use?
Yes. Vitess is completely free and open source under the Apache 2.0 license. It is a graduated CNCF project with no licensing costs or pricing tiers.
SourceInfluxDB: Can I self-host InfluxDB?
Yes, InfluxDB 3 Core is fully open source and can be self-hosted with no license required. InfluxDB 3 Enterprise is self-managed and includes a 30-day free trial.
SourceVitess: What databases does Vitess support?
Vitess supports MySQL and MariaDB as backend databases. It acts as a middleware layer that adds sharding and orchestration capabilities on top of these databases.
SourceInfluxDB: What are the series cardinality limitations?
InfluxDB is sensitive to high-cardinality data. High cardinality increases RAM usage and can trigger out-of-memory errors, making it unsuitable for some workloads with many unique tag combinations.
SourceVitess: Does Vitess require Kubernetes to run?
No. Vitess can run on Kubernetes using the Vitess Operator, but it can also be deployed on traditional infrastructure. Kubernetes integration is optional and provides additional automation benefits.
SourceInfluxDB: Does InfluxDB support SQL queries?
InfluxDB has limited SQL support. Full SQL is available in InfluxDB 3, but earlier versions support only specific SQL commands and use InfluxQL as the primary query language.
SourceVitess: How does Vitess handle cross-shard transactions?
Vitess supports distributed transactions across shards, but they require queries to be routed through the sharding key. Transactions without a proper sharding key can result in slower performance.
SourceInfluxDB: Can I export my data from InfluxDB?
Yes, data can be exported from InfluxDB using query results. However, the process and supported formats depend on the version and deployment type you are using.
SourceVitess: Does Vitess enforce foreign key constraints?
Vitess does not enforce foreign key constraints across shards by default. Referential integrity must be managed at the application layer, though per-database support can be enabled with limitations.
SourceRelated pages
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