Time Series Databases:
The Essential Guide for Real-Time Analytics.

This ebook explains what makes time series data unique, how time series databases differ from traditional systems, and why they’re essential for powering real-time analytics and predictive insights at scale.

You’ll discover:

  • What a time series database is and how it works
  • How industries like finance, manufacturing, and defense use time series data for real-time analytics
  • The key factors to consider when choosing a time series database
  • Why KX is the #1 choice for enterprise performance and scalability

Download this practical guide to understanding, managing, and scaling time series data for real-time intelligence.

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Time series vs relational databases

A time series database is optimized to store, retrieve, and manage timestamped data points which makes them the ideal choice for time-series data in industries that require frequent, time-based queries.

Time series databases

  • Data model
    Time-based, optimized for timestamped data
  • Write throughput
    High, optimized for time-series data
  • Query performance
    Fast for time-based queries
  • Storage efficiency
    Compressed, supports downsampling

Relational databases

  • Data model
    Structured: rows & columns
  • Write throughput
    Moderate, optimized for transactions
  • Query performance
    Slower for time-based queries
  • Storage efficiency
    Traditional; less optimized for long history

Key advantages of KX

KX is independently benchmarked as the world’s fastest time series database and analytics engine. Its columnar design, in-memory architecture, ‘peach’ parallel processing, and multithreaded data loading ensure fast analytics on large-scale datasets both in motion and at rest.

Faster decision making

Faster decision making

Real-time ingestion and historical analysis for richer insights at anytime

Scalable ML models

Scalable ML models

Enhanced data analysis and predictive modelling across your entire data stack

Enterprise efficiency

Enterprise efficiency

Reduce TCO and improve resource efficiency when scaling data operations

Don’t let database speed hold back your business growth

58% of KX users purchased KX because they were experiencing “Difficulty Scaling”

“You have to justify not using kdb.”

Senior Technology Lead
Large Enterprise Capitol Markets Company

30X

Faster than Pandas

Performed in independent benchmarks**

25X

Faster than TimeScale

Performed in independent benchmarks**

9X

Faster than Influx

Performed in independent benchmarks**

5X

Faster than QuestDB

Performed in independent benchmarks**

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**Survey conducted and verified by UserEvidence

*** Source: To see how kdb performed in independent benchmarks that show similar on replicable data see: TSBS 2023, STAC-M3, DBops and Imperial College London Results for High-performance DB benchmarks.

Introduction to time series database ebook

Get our ultimate guide to time series databases

Unlock the full potential of your time-stamped data with our comprehensive ebook on time series databases. Learn how to efficiently store, retrieve, and analyze time series data to gain actionable insights and drive informed decision-making. Whether you’re in finance, IoT, or system monitoring, this guide provides the knowledge you need to harness the power of time series databases.

Download the ebook now

Demo the world’s fastest database for vector, time-series, and real-time analytics

Start your journey to becoming an AI-first enterprise with 100x* more performant data and MLOps pipelines.

  • Process data at unmatched speed and scale
  • Build high-performance data-driven applications
  • Turbocharge analytics tools in the cloud, on premise, or at the edge

*Based on time-series queries running in real-world use cases on customer environments.

Book a demo with an expert

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This field is for validation purposes and should be left unchanged.

By submitting this form, you will also receive sales and/or marketing communications on KX products, services, news and events. You can unsubscribe from receiving communications by visiting our Privacy Policy. You can find further information on how we collect and use your personal data in our Privacy Policy.

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