Skip to content

ZeptoDB vs kdb+

Both ZeptoDB and kdb+ target the same niche: ultra-low latency time-series for capital markets. The key difference — ZeptoDB delivers comparable performance with standard SQL and an open-source license.


ZeptoDBkdb+
Latencyμs (272μs / 1M rows)μs
Ingestion5.52M events/sec~5M events/sec
Query LanguageStandard SQLq (proprietary)
ASOF JOIN
Window JOIN
xbar / time bucketing
EMA / VWAP
Python Integration522ns zero-copyIPC (~ms latency)
C++ APINativeC binding
SQLFull standard SQL✗ (q lang only)
JIT CompilationLLVM JITInterpreter
SIMDHighway (AVX2/512, NEON)Limited
Historical DBParquet on S3Splayed tables on disk
ClusteringMulti-node with auto-shardingManual
SecurityTLS 1.3, RBAC, JWT, auditBasic
LicenseOpen Source (Apache 2.0)$100K+/year

  • You want kdb+-class performance without the license cost
  • Your team knows SQL, not q
  • You need Python zero-copy for quant research
  • You want modern security (RBAC, JWT/OIDC, audit logging)
  • You need Parquet/S3 for cost-effective historical storage
  • Deep existing investment in q codebases
  • Vendor support contract is a hard requirement
  • Specific kdb+ ecosystem tools (KX Dashboards, etc.)

ZeptoDB supports the same temporal operations as kdb+ with SQL syntax:

kdb+ZeptoDB
aj[\sym`time; trades; quotes]`trades ASOF JOIN quotes ON sym, ts
xbar[0D00:01; time]xbar(1m, ts)
ema[20; price]ema(price, 20)
mavg[50; price]mavg(price, 50)
wj[w; \sym`time; trades; (quotes; (max;bid); (min;ask))]`trades WINDOW JOIN quotes ...

Get started with the Quick Start Guide.