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Head-to-head · Time-Series Databases

Amazon Timestream vs kdb+

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon Timestream #2 in Time-Series Databases 9.1/10 Paid ✓ 3 of 3 features Visit site
kdb+ #4 in Time-Series Databases 8.9/10 Pricing on request ✓ 3 of 3 features Visit kdb+

Amazon Timestream leads on 0 checks, kdb+ on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Timestream · 9.1/10

Amazon Timestream scores higher on our rubric for time-series databases: 9.1 against 8.9 out of 10; our editors rank them #2 and #4.

On deployment, kdb+ gives you Both where Amazon Timestream offers Cloud.

Amazon Timestream is the better fit for managed AWS time-series deployments. kdb+ is the better fit for high-performance financial time-series processing.

  • Amazon Timestream fits best

    Managed AWS time-series deployments

  • kdb+ fits best

    High-performance financial time-series processing

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Side by side

Feature Amazon Timestream 9.1/10 Visit ↗ kdb+ 8.9/10 Visit ↗
At a glance
Editor score 9.1 8.9
Ranking #2 in Time-Series Databases #4 in Time-Series Databases
Best for Managed AWS time-series deployments High-performance financial time-series processing
Pricing model Paid Paid
Starting price — Pricing on request
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Windows, macOS, Linux
Support Docs Community, Docs
Integrations 11 integrations 17 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Timestream 3/3 · kdb+ 3/3
SQL support ✓ ✓
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Cloud Both
Query languages SQL, Flux, InfluxQL q, q-SQL
Ingestion methods AWS SDKs, AWS CLI, WriteRecords API, AWS Lambda, AWS IoT Core, Amazon Managed Service for Apache Flink, Amazon Kinesis, Amazon MSK, Telegraf tickerplant, feed handlers, batch mode, TCP/IP, Apache Kafka, Python, Java, C
Our review
Pros
  • Serverless and managed InfluxDB engines support different workloads
  • SQL queries span memory and magnetic storage tiers
  • AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations
  • Columnar storage with in-memory real-time processing
  • Tickerplant, feedhandler, and partitioned historical database architecture
  • Integrations across ODBC, Kafka, Java, Python, C, and R
Cons
  • Cloud-only deployment limits infrastructure choice
  • Usage-based pricing varies by region, engine, and configuration
  • Timestream for LiveAnalytics has an End of Support Notice
  • Self-hosted deployment requires infrastructure ownership
  • Closed-source licensing limits source-level customization
  • Pricing requires contacting sales
Our verdict

Amazon Timestream is a fully managed AWS service for storing, ingesting, and querying time-series data. It is aimed at teams building real-time monitoring, IoT, DevOps, and analytics applications within the AWS ecosystem. The service…

Read the review →

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 →
  1. Amazon TimestreamTime-Series Databases 9.1Paid
  2. kdb+Time-Series Databases 8.9Pricing on request

Strengths and trade-offs

  • Amazon Timestream — where it wins

    • Serverless and managed InfluxDB engines support different workloads
    • SQL queries span memory and magnetic storage tiers
    • AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations

    Where it doesn't

    • Cloud-only deployment limits infrastructure choice
    • Usage-based pricing varies by region, engine, and configuration
    • Timestream for LiveAnalytics has an End of Support Notice

  • 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
  • Amazon Timestream9.1/10 · Paid

    A managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.

    Visit siteFull verdict →
  • kdb+8.9/10 · Pricing on request

    A specialized, self-hosted engine for real-time and historical financial analytics.

    Visit kdb+Full verdict →

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