
InfluxDB
7.4#4 in time-series databases$0.01 usage-basedFree planWebAPILinuxmacOS
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| Fact | InfluxDB | UnitDB |
|---|---|---|
| Integrations | InfluxDB connects to data sources through 400+ pre-built Telegraf plugins and has official client libraries including Python, JavaScript, Go, Java, and C#. | The maker lists supported Go and Flutter/Dart client libraries for connecting to a UnitDB server. |
| Performance | InfluxDB 3 supports millions of writes per second, billions of series with no cardinality limits, and sub-10ms query response times. | The project says it is optimized for fast lookups and writes and supports writing billions of records per hour. |
| Purpose | InfluxDB 3 is a time series database and platform built for high-frequency, timestamped data. | UnitDB is described as a specialized time-series database for microservices, IoT, and real-time internet-connected devices. |
| Querying | InfluxDB 3 supports native SQL alongside InfluxQL and includes a built-in Python processing engine. | Its UQL query language supports topic patterns, JSON payload field selection and filtering, grouping, counts, indexes, and deletion by ID or age. |
| Storage | InfluxDB 3 stores data as compressed Parquet files in object storage with S3 API compatibility. | The engine supports larger-than-memory data sets, fast lookups and writes, TTLs on message entries, and immutable database opening. |
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InfluxDB suits teams handling timestamped data for industrial operations, observability, or AI applications. Core is intended for local development, prototyping, and edge deployments; managed and enterprise options serve other deployment needs.
You want what its maker publishes above — check its page for the details.