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Timescale

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Company health

Employee growth
40% increase in the last year
Web traffic
11% increase in the last quarter

Ratings

G2
4.7/5
(29)

Timescale description

Timescale is a database solution designed to handle large volumes of time-stamped data, like sensor readings or financial transactions. Built on top of the popular PostgreSQL database, it offers enhanced performance and features specifically for managing time series data. This makes it suitable for industries like finance, IoT, and manufacturing that often deal with continuous data streams. Timescale aims to provide the benefits of a specialized time series database while maintaining compatibility with existing PostgreSQL tools and expertise.


What companies are using Timescale?

Lucid is using Timescale
Lucid
Polymarket is using Timescale
Polymarket
WaterBridge Resources is using Timescale
WaterBridge Resources
Lucid Motors is using Timescale
Lucid Motors
Videojet Technologies India Pvt Ltd is using Timescale
Videojet Technologies India Pvt Ltd
LYT is using Timescale
LYT
Scythe Robotics is using Timescale
Scythe Robotics
Messari is using Timescale
Messari
Strella Biotechnology is using Timescale
Strella Biotechnology
Bubble is using Timescale
Bubble
Kempower is using Timescale
Kempower
European Space Agency - ESA is using Timescale
European Space Agency - ESA
Uber is using Timescale
Uber
Coinbase is using Timescale
Coinbase
Warner Music Group is using Timescale
Warner Music Group
Zapier is used by Lucid, Polymarket, WaterBridge Resources, Lucid Motors, Videojet Technologies India Pvt Ltd, LYT, Scythe Robotics, Messari, Strella Biotechnology, Bubble, Kempower, European Space Agency - ESA, Uber, Coinbase, Warner Music Group.

Who is Timescale best for

Timescale is great for developers, data scientists, and engineers tackling time-series data. We find that its scalability and PostgreSQL compatibility make it a solid choice. Users highlight its ease of use, good storage pricing, and excellent performance, especially with continuous aggregates. Keep in mind that some users find the UI slow and dislike recent pricing changes.

  • Perfect for any company size (from 1-100 to 1001+ employees) seeking a scalable time-series database solution with PostgreSQL compatibility.

  • Great choice for Software/IT, Finance, and Manufacturing firms needing high-performance handling of time-stamped data streams.


Timescale features

Supported

Time series and Real-Time Analytics: Lightning-fast ingest and querying on PostgreSQL.

Supported

AI and Vector: Build RAG, search, and Al agents, all on PostgreSQL.

Supported

Timescale Cloud: A reliable PostgreSQL cloud for your workloads.

Supported

Support Services: Support options for your use case, infrastructure, and budget.

Supported

Scale Vector Search: Scale vector search to billions of entries with Timescale Vector, a vector database built on top of PostgreSQL.

Supported

Managed PostgreSQL Service: Managed PostgreSQL service for time-series data.

Supported

Open-Source Relational Database: Open-source relational database optimized for time-series data.

Supported

TimescaleDB Toolkit: Comprehensive suite of tools to maximize the power of TimescaleDB.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Rather positive
+0.5

Customer Service

Strongly positive
+1

Ease of Use

Strongly positive
+1

Reliability and Performance

Strongly positive
+1

Ease of Implementation

Strongly positive
+1

Timescale reviews

We've summarised 29 Timescale reviews (Timescale G2 reviews) and summarised the main points below.

Pros of Timescale
  • Easy to start, maintain, and scale
  • Good storage price and in-database functions
  • Reliable, easy to use and integrate, decent documentation
  • Excellent performance for time series data, especially continuous aggregates
Cons of Timescale
  • Recent pricing model change is not ideal
  • Limited flexibility in internal configurations
  • High cost for hobby applications ($50/month)
  • UI can be slow, lacks a vector visualizer

Timescale pricing

The commentary is based on 12 reviews from Timescale G2 reviews.

We find that Timescale's pricing is generally perceived favorably, especially when compared to alternatives like AWS. Some users find the managed service pricey, particularly for smaller projects, but the free tier and community edition offer cost-effective options. Many appreciate the predictable cost structure based on storage and system load.

Users sentiment

Rather positive
+0.5

See the Timescale pricing page.

  • Timescale has a free trial.

Performance
Custom

Best for cost-focused, smaller projects. Get started with 4 database services, up to 8 CPU and 32 GB memory per service, up to 16 TB disk storage per service, high-availability replica, point-in-time-recovery to 3 days, Performance Insights, and basic support (9-5 ET).

Scale
Custom

Best for developers handling critical applications. Includes everything in Performance, plus unlimited database services, up to 32 CPU and 128 GB memory, tiered storage, I/O Boost, read replicas, point-in-time-recovery up to 14 days, and advanced monitoring.

Enterprise
Custom

Best for enterprises with mission-critical applications. Includes everything in Scale, plus production support included (24x7), federated authentication, advanced compliance and security, integration and migration services, and enterprise SLAs.


Timescale alternatives

  • Logo of Amazon Timestream
    Amazon Timestream
    Serverless time-series database built for fast, scalable, and cheap analytics.
    Read more
  • Logo of Marple
    Marple
    Analyze sensor data, visualize tests, and improve product performance.
    Read more
  • Logo of Amazon Aurora
    Amazon Aurora
    MySQL and PostgreSQL compatible cloud database: fast, reliable, and scales.
    Read more
  • Logo of AWS Databases
    AWS Databases
    Scalable, managed databases for any workload, purpose-built.
    Read more
  • Logo of Redis Enterprise
    Redis Enterprise
    Blazing-fast, scalable data platform for demanding apps.
    Read more
  • Logo of Axibase Time Series Database
    Axibase Time Series Database
    Store, analyze, and visualize time-series data efficiently.
    Read more

Timescale FAQ

  • What is Timescale and what does Timescale do?

    Timescale is a powerful database built on PostgreSQL, expertly handling large-scale time-series data. We find it excels in performance and scalability, making it ideal for applications needing real-time analytics, particularly in finance, IoT, and manufacturing. It offers both open-source and cloud options.

  • How does Timescale integrate with other tools?

    We find that Timescale, built on PostgreSQL, integrates seamlessly with existing PostgreSQL tools and expertise. It supports various PostgreSQL connectors and drivers, enabling easy integration with popular data visualization and analysis tools.

  • What the main competitors of Timescale?

    We find Timescale's main competitors include Amazon Timestream, InfluxDB, and Prometheus. These alternatives offer similar time-series database functionalities, catering to various needs and budgets. Some users might also consider AWS Aurora or other cloud-based database solutions.

  • Is Timescale legit?

    We find Timescale to be a legitimate and reliable database solution. It's well-regarded by users for its performance with time-series data and ease of use. With positive growth and a strong reputation, it appears to be a safe and effective choice.

  • How much does Timescale cost?

    Timescale Cloud offers three tiers: Performance, Scale, and Enterprise. We found that each tier's pricing is customized based on your specific needs, so you'll need to contact their sales team for a quote. There is no free plan, but a free trial is available.

  • Is Timescale customer service good?

    We find that Timescale's customer support is generally considered excellent. Users frequently praise the helpfulness and responsiveness of the support team, particularly with technical questions and optimization strategies. While some documentation gaps have been mentioned, the active community and direct engineer interaction often compensate for this.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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