ZeptoDB vs TimescaleDB
Overview
Section titled “Overview”TimescaleDB extends PostgreSQL with time-series capabilities. ZeptoDB is a purpose-built in-memory time-series engine delivering lower latency for real-time workloads, with an Agent Memory layer for context retrieval, prompt cache, and AgentOps telemetry.
Feature Comparison
Section titled “Feature Comparison”| ZeptoDB | TimescaleDB | |
|---|---|---|
| Architecture | Purpose-built in-memory engine | PostgreSQL extension |
| Query Latency | 272μs (1M rows) | ~10ms |
| Ingestion | 5.52M events/sec | ~50K events/sec |
| Query Language | Standard SQL | PostgreSQL SQL |
| ASOF JOIN | ✓ (native, optimized) | ✗ (requires LATERAL JOIN workaround) |
| Window Functions | ✓ + EMA, VWAP built-in | PostgreSQL window functions |
| xbar (time bucketing) | ✓ | time_bucket() |
| Python Zero-Copy | 522ns | psycopg2 (~ms) |
| Agent Memory | Native memory + exact/semantic cache layer | Separate stack required |
| JIT Compilation | LLVM JIT | PostgreSQL JIT (limited) |
| SIMD | Highway (AVX2/512, NEON) | ✗ |
| Continuous Aggregates | Window functions | ✓ (materialized) |
| Compression | Parquet (columnar) | Row-level compression |
| Ecosystem | Growing | Full PostgreSQL ecosystem |
| License | BUSL-1.1, free Community | Apache 2.0 (Community) / Proprietary (Cloud) |
When to Choose ZeptoDB
Section titled “When to Choose ZeptoDB”- Sub-millisecond latency is a hard requirement
- ASOF JOIN for sensor, robot, or tick-by-tick alignment
- Millions of events/sec ingestion throughput
- Python zero-copy for ML feature stores and analytics pipelines
- Agent Memory for operational agents that need timeline evidence and durable context
- Multi-vertical footprint (Physical AI, industrial, automotive, energy, markets) where PostgreSQL would be a mismatch
When TimescaleDB May Be Better
Section titled “When TimescaleDB May Be Better”- Existing PostgreSQL infrastructure and expertise
- Need for full PostgreSQL ecosystem (PostGIS, extensions, etc.)
- Continuous aggregates for pre-computed rollups
- Managed cloud service preference (Timescale Cloud)
- Workloads where 10ms latency is acceptable
Get started with the Quick Start Guide.