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Head-to-head · Time-Series Databases

kdb+ vs Grafana Mimir

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score kdb+ #4 in Time-Series Databases 8.9/10 Pricing on request ✓ 3 of 3 features Visit kdb+
Grafana Mimir #6 in Time-Series Databases 8.7/10 Open source ✓ 2 of 3 features Visit Grafana Mimir

kdb+ leads on 1 check, Grafana Mimir on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorekdb+ · 8.9/10
  • Most featureskdb+ · 3 of 3

kdb+ scores higher on our rubric for time-series databases: 8.9 against 8.7 out of 10; our editors rank them #4 and #6.

On deployment, kdb+ gives you Both where Grafana Mimir offers Self_hosted. kdb+ offers sql support; Grafana Mimir doesn't.

kdb+ is the better fit for high-performance financial time-series processing. Grafana Mimir is the better fit for large-scale Prometheus storage.

  • kdb+ fits best

    High-performance financial time-series processing

  • Grafana Mimir fits best

    Large-scale Prometheus storage

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Side by side

Feature kdb+ 8.9/10 Visit ↗ Grafana Mimir 8.7/10 Visit ↗
At a glance
Editor score 8.9 8.7
Ranking #4 in Time-Series Databases #6 in Time-Series Databases
Best for High-performance financial time-series processing Large-scale Prometheus storage
Pricing model Paid Free
Starting price Pricing on request Open source
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Community, Docs Email, Community, Docs
Integrations 17 integrations 12 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features kdb+ 3/3 · Grafana Mimir 2/3
SQL support ✓ (best) —
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Self_hosted
Query languages q, q-SQL PromQL
Ingestion methods tickerplant, feed handlers, batch mode, TCP/IP, Apache Kafka, Python, Java, C Prometheus remote write; Grafana Agent; Prometheus Agent; OpenTelemetry; Influx; Graphite; Datadog
Our review
Pros
  • Columnar storage with in-memory real-time processing
  • Tickerplant, feedhandler, and partitioned historical database architecture
  • Integrations across ODBC, Kafka, Java, Python, C, and R
  • Horizontally scalable architecture with clustering and replication
  • Multi-tenancy, tenant isolation, and configurable retention
  • Object-store support plus recording and alerting rules
Cons
  • Self-hosted deployment requires infrastructure ownership
  • Closed-source licensing limits source-level customization
  • Pricing requires contacting sales
  • Self-hosted deployment requires operational ownership
  • PromQL is the documented query language, not SQL
  • Focused on Prometheus and OpenTelemetry metrics rather than general SQL workloads
Our verdict

kdb+ is a time-series database and analytics engine for organizations processing real-time and historical data. Its design combines columnar storage, in-memory execution, persistent databases, temporal data types, and the q programming and…

Read the review →

Grafana Mimir is an open-source time-series database for organizations operating large-scale metrics platforms. It provides long-term storage for Prometheus and OpenTelemetry metrics, with Prometheus-compatible remote write ingestion,…

Read the review →
  1. kdb+Time-Series Databases 8.9Pricing on request
  2. Grafana MimirTime-Series Databases 8.7Open source

Strengths and trade-offs

  • kdb+ — where it wins

    • Columnar storage with in-memory real-time processing
    • Tickerplant, feedhandler, and partitioned historical database architecture
    • Integrations across ODBC, Kafka, Java, Python, C, and R

    Where it doesn't

    • Self-hosted deployment requires infrastructure ownership
    • Closed-source licensing limits source-level customization
    • Pricing requires contacting sales

  • Grafana Mimir — where it wins

    • Horizontally scalable architecture with clustering and replication
    • Multi-tenancy, tenant isolation, and configurable retention
    • Object-store support plus recording and alerting rules

    Where it doesn't

    • Self-hosted deployment requires operational ownership
    • PromQL is the documented query language, not SQL
    • Focused on Prometheus and OpenTelemetry metrics rather than general SQL workloads

More comparisons

All Time-Series databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update