Overview
Timescale Cloud delivers PostgreSQL database functionality at scale for real-time analytics, time-series and vector data with unmatched performance, security, and reliability. From the creators of open-source TimescaleDB, Timescale Cloud scales with you to collect, store, and analyze billions of data points for your most mission-critical use cases, including IoT, crypto, fintech and user analytics.
100% PostgreSQL
Built on the world's most popular database known for its wide feature set, flexibility and reliability with full SQL support and a vibrant ecosystem that easily snaps into your existing tech stack. Timescale Cloud benefits from open-source Postgres innovation, including our contributions for RAG, search and AI with pgvectorscale and pgai. Whether managing legacy timeseries data sets, or innovating with vector search, Timescale Cloud keeps up with your emerging use cases across IoT, sensors, AI, dev tools, crypto and finance.
High Performance for Real-time Analytics
Timescale's hypercore is a hybrid row-columnar storage engine optimized for powering applications requiring real-time ingest of high volumes of streaming data and fast analytical queries on large datasets while maintaining transactional semantics.
World-class Security
We give you back engineering time by taking care of database security, privacy and compliance details. Let us manage tuning, continuous backups and failover, automated database upgrades, encryption, 14-day PITR recovery on our SOC2, GDPR and HIPAA compliant offering. Learn more about our security at https://www.timescale.com/security .
If you're seeking a pure pay-as-you-go pricing model, please refer to our PAYG listing.
Highlights
- Fully managed Postgres Platform - all the functionality you need in a single database for transactional, analytics and vector data processing.
- Get up and running quickly - 100% PostgreSQL and full SQL support for rapid adoption and integration into your existing tech stack.
- Fast queries and low latency - Store and query data quickly and efficiently with automatic partitioning, columnar storage, compression, and real-time aggregation. Grow effortlessly with dynamic scaling and infinite storage.
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Learn more about our terms of service at https://www.timescale.com/legal/timescale-cloud-terms-of-service
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Vendor support
Timescale provides cloud support services for Timescale Cloud customers in two tiers:
- Basic Support: Automatically included with all subscriptions, providing essential assistance for your cloud operations.
- Production Support: Designed for mission-critical environments, offering 24x7 coverage and priority response to ensure your applications run smoothly at all times.
Learn more at Timescale Support: https://www.timescale.com/support.
Email: support@timescale.com.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Great out of the box solution for any PostgreSQL user
Good Service for good storage price
Switched from AWS
everything works fine as expected
Great Vector Database Solution
The nodeJS implementation for postgres SDK is great, and the ability to write standard postgresql for queries and database managment makes this much more flexible and easier to manage than traditional vector databases.
I have used multiple vector databases and this is my faviout one so far for scalability. I use the UI every day when checking up on the health of my vector database and love the metrics it provides. It only took 1 development week to fully switch from a different Vector Database, but I have a massive codebase with a lot of functionality, I'm confident someone with a new codebase could integrate in a day.