Skip to content

ZeptoDB vs InfluxDB

This page compares ZeptoDB with InfluxDB 3 Core as documented on 2026-07-18. InfluxDB generations have different engines, query languages, deployment models, and licenses; do not apply this table unchanged to InfluxDB 1.x or 2.x. The online documentation is continuously updated and is not treated here as a pinned patch release.

This is an architecture and workload-fit comparison, not a cross-vendor benchmark.

Version scope: ZeptoDB means the exact source SHA recorded by the current build in docs-sync.json. Confirm InfluxDB features against the exact InfluxDB 3 release and deployment model you will operate.


Decision areaZeptoDBInfluxDB 3 Core
Design centerHot time-series SQL plus Action-Outcome/Agent Memory and replayTime-series event storage and analytics
Query interfaceZeptoDB SQLSQL and InfluxQL
Current engineC++ in-memory hot path with Parquet historical pathsApache Arrow/DataFusion-based engine with Parquet/object-storage architecture
Ingestion ecosystemZeptoDB APIs and connectors available in the selected buildLine protocol, APIs, and the broader InfluxData ingestion ecosystem
Temporal alignmentNative ASOF JOIN and Window JOINExpress requirements using the SQL/InfluxQL features supported by the selected release; test the exact query plan
Agent workflowTimeline evidence, retrieval/cache, and replay are part of ZeptoDB’s product surfaceNot evaluated in this comparison; verify the selected product and application stack

InfluxDB 3 supports SQL and InfluxQL. Its official documentation states that Flux is not supported in InfluxDB 3, so older comparisons that present Flux as the current InfluxDB 3 query path are inaccurate.

ZeptoDB is worth evaluating when live time-series data and replayable agent context belong on one timeline, or when ZeptoDB’s native temporal operators and in-process Python path match the application.

InfluxDB 3 is worth evaluating when line-protocol compatibility, the InfluxData ecosystem, object-storage-backed time-series analytics, or existing operational investment is the stronger constraint.

  • Use the Benchmarks page only for the scope explicitly stated in each ZeptoDB test.
  • Test cardinality, retention, compaction, query concurrency, and failure recovery with production-shaped data before choosing either system.

Get started with the Quick Start Guide.