Last updated on
Company health
Ratings
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?
Who is Timescale best for
Timescale is a robust, PostgreSQL-based database optimized for time-series data. Users praise its performance and ease of use, especially for those familiar with PostgreSQL. The managed cloud service offers convenient scalability, but some users find the pricing high and cloud features limited. It's best for medium to large companies in data-heavy sectors like IoT and FinTech needing powerful time-series analysis.
-
Best for medium to large enterprises needing scalable time-series data solutions.
-
Ideal for IoT, Fintech, and any sector using time-series data analysis.
Timescale features
Supported Timescale is designed specifically for managing time series data, offering optimized performance for this type of workload. |
Supported Timescale supports real-time analytics, allowing for fast querying and analysis of incoming data. |
Supported Timescale allows building AI applications, including RAG, search, and AI agents, directly on PostgreSQL. |
Supported Timescale Cloud offers a managed cloud service for hosting Timescale databases. |
Supported Timescale Vector enables scaling vector search to billions of entries. |
Supported Timescale offers a managed PostgreSQL service specifically tailored for time-series data. |
Supported Timescale is built on top of PostgreSQL, allowing users to leverage existing PostgreSQL tools and knowledge. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Timescale reviews
We've summarised 29 Timescale reviews (Timescale G2 reviews) and summarised the main points below.
- Excellent performance for time-series data.
- Easy to use and integrate, especially for PostgreSQL users.
- Built-in functions simplify time-series analysis.
- Active and helpful community and support.
- Effective compression for cost savings.
- High pricing for managed service options, especially as resource requirements grow.
- Limited superuser access in Timescale Cloud can be restrictive.
- Difficulty backfilling data into compressed chunks.
- UI of Timescale Cloud could be improved.
- Mismatch in features between Managed and Cloud services.
Timescale pricing
The commentary is based on 12 reviews from Timescale G2 reviews.
Timescale's pricing is generally considered competitive and cost-effective, especially compared to AWS. However, some users find the managed cloud hosting expensive for smaller projects or hobby use. The cost savings from compression and efficient data handling are frequently highlighted.
Users sentiment
See the Timescale pricing page.
-
Timescale has a free trial.
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).
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.
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
Amazon TimestreamServerless time-series database built for fast, scalable, and cheap analytics.Read more
Timescale FAQ
Timescale is a time-series database built on PostgreSQL, offering scalability and performance for large volumes of time-stamped data. It excels in real-time analytics and AI applications, simplifying time-series analysis with specialized functions and integrations. Suitable for industries like finance, IoT, and manufacturing.
What is Timescale and what does Timescale do?
Timescale is a time-series database built on PostgreSQL, offering scalability and performance for large volumes of time-stamped data. It excels in real-time analytics and AI applications, simplifying time-series analysis with specialized functions and integrations. Suitable for industries like finance, IoT, and manufacturing.
Timescale, built on PostgreSQL, integrates seamlessly with existing PostgreSQL tools and expertise. It supports various data formats and offers APIs for different programming languages, facilitating connections with other data sources and visualization tools. This allows for flexible integration with your current data infrastructure.
How does Timescale integrate with other tools?
Timescale, built on PostgreSQL, integrates seamlessly with existing PostgreSQL tools and expertise. It supports various data formats and offers APIs for different programming languages, facilitating connections with other data sources and visualization tools. This allows for flexible integration with your current data infrastructure.
Top alternatives to Timescale include Amazon Timestream, InfluxDB, and Prometheus. These databases offer similar time-series data management capabilities, with varying strengths in scalability, performance, and ease of use. Depending on specific needs and existing infrastructure, one of these may be a suitable replacement.
What the main competitors of Timescale?
Top alternatives to Timescale include Amazon Timestream, InfluxDB, and Prometheus. These databases offer similar time-series data management capabilities, with varying strengths in scalability, performance, and ease of use. Depending on specific needs and existing infrastructure, one of these may be a suitable replacement.
Yes, Timescale is a legitimate and safe database solution. It's built on PostgreSQL and offers excellent performance for time-series data, as confirmed by user reviews. With positive ratings and a growing community, Timescale is a reliable choice.
Is Timescale legit?
Yes, Timescale is a legitimate and safe database solution. It's built on PostgreSQL and offers excellent performance for time-series data, as confirmed by user reviews. With positive ratings and a growing community, Timescale is a reliable choice.
Timescale offers three plans: Performance, Scale, and Enterprise, all with custom pricing. Contact Timescale for a price quote tailored to your project’s specific needs and determine if the product pricing is worth it for you. A free trial is available.
How much does Timescale cost?
Timescale offers three plans: Performance, Scale, and Enterprise, all with custom pricing. Contact Timescale for a price quote tailored to your project’s specific needs and determine if the product pricing is worth it for you. A free trial is available.
Timescale's customer service receives overwhelmingly positive feedback. Users praise the helpful and responsive support team, highlighting their assistance with questions, optimization, and even access to engineers when needed. The active community, particularly on Slack, is also appreciated.
Is Timescale customer service good?
Timescale's customer service receives overwhelmingly positive feedback. Users praise the helpful and responsive support team, highlighting their assistance with questions, optimization, and even access to engineers when needed. The active community, particularly on Slack, is also appreciated.
Reviewed by
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.
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.