Sold by: TigerDataÂ
Deployed on AWS
Tiger Cloud, from the creators of TimescaleDB, pgai, and pgvectorscale, is the enterprise-grade, fully managed Postgres solution for real-time analytics, time-series, and vector data. Delivered by TigerData, Tiger Cloud handles complex workloads for remote telemetry and monitoring, streaming financial data, and events tracking. Tiger Cloud is 100% unforked Postgres with SQL-native queries and production-grade performance and scale.
As a cloud-native platform built on AWS, Tiger Cloud powers applications that need to collect, store, and analyze billions of data points, seamlessly integrating into the AWS ecosystem. With Tiger Lake syncing now available for Iceberg-backed S3 tables, data never has to leave your S3 storage, centralizing data access in one location for data scientists, AI Agents, and customers. TigerData remains deeply invested in the Postgres open-source community. Recent open-source contributions include pgvectorscale and pgai for RAG, search, and AI.
Overview
Tiger Cloud, from the creators of TimescaleDB, pgai, and pgvectorscale, delivers Postgres database functionality at scale for real-time analytics, time-series, and vector data, combining OLAP/OLTP functionality into a single database for all your applications, analytics, and ML/AI use cases. Tiger Cloud scales with you to collect, store, and analyze billions of data points for your remote telemetry and monitoring, streaming crypto/financial, and event tracking use cases.
100% PostgreSQL
Postgres is the most popular relational database in the GenAI world. Built on unforked Postgres, TigerData offers full SQL support and benefits from a vibrant Postgres ecosystem that easily snaps into your existing tech stack. TigerData remains committed to the open-source community with recent contributions, pgvectorscale, and pgai for RAG, search, and ML/AI. Whether managing legacy time-series datasets or innovating with vector search, Tiger Cloud keeps you ahead of the curve with best-in-class support and access to world-class engineers driving innovations in query performance and storage.
Composable Architecture for S3 Tables
Connect datasets seamlessly between S3 Tables, lakehouse, and Postgres. TigerData's Tiger Lake functionality connects Postgres with your lakehouse as a single modular system. Part of the managed Tiger Cloud offering, Tiger Lake streams data to Apache Iceberg-backed S3, supports open table formats and standard SQL, and enables real-time querying for apps, agents, and analytics, all without data duplication or ETL pipelines.
High Performance for Real-time Analytics
TigerData's hypercore is a hybrid row-columnar storage engine optimized for powering applications requiring real-time ingestion of high volumes of streaming data and fast analytical queries on large datasets while maintaining transactional semantics.
Highlights
- Fully managed Postgres Platform: all the functionality you need in a single database for transactional, analytics and vector data processing.
- Fast queries and low latency: Store and query data quickly and efficiently with automatic partitioning, columnar storage, compression, and real-time data aggregation. Grow effortlessly with dynamic scaling and infinite storage.
- Easy S3 Tables live-syncing: Tiger Lake streams Postgres data to Iceberg-backed S3 Tables using open formats and standard SQL, powering real-time analytics across apps, agents, and tools.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Timescale Cloud | Total Commitment Value | $20,000.00 |
Dimension | Cost/unit |
|---|---|
Overage Cost | $0.01 |
Vendor refund policy
Learn more about our terms of service at https://www.tigerdata.com/legal/timescale-cloud-terms-of-serviceÂ
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
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Delivery details
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.
Resources
Vendor resources
Support
Vendor support
Learn more at: https://www.tigerdata.com/support Email: support@tigerdata.comÂ
TigerData provides cloud support services for Tiger 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.
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
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29 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Financial Services
Great out of the box solution for any PostgreSQL user
Reviewed on Jan 20, 2025
Review provided by G2
What do you like best about the product?
Easy to start, easy to maintain, easy to scale
What do you dislike about the product?
Recent pricing model change is not ideal
What problems is the product solving and how is that benefiting you?
Allows to store and query large about of financial time series data
Juan H.
Good Service for good storage price
Reviewed on Jan 17, 2025
Review provided by G2
What do you like best about the product?
the functions that can be deployed inside the db's
What do you dislike about the product?
the flexibility in internal configurations
What problems is the product solving and how is that benefiting you?
it does offered a db with good functionalities like creating some cron jobs in it, or transformations.
Computer Software
Switched from AWS
Reviewed on Jan 17, 2025
Review provided by G2
What do you like best about the product?
Pricing compared with AWS is slightly better
What do you dislike about the product?
None (so far),
everything works fine as expected
everything works fine as expected
What problems is the product solving and how is that benefiting you?
Pricing and accessibility with ease of use as administrator
Thomas C.
Great Vector Database Solution
Reviewed on Jan 17, 2025
Review provided by G2
What do you like best about the product?
The ease of set up with the pgai, pgvector, and pgvectorscale plugins makes setting up and running of a highly scalable vector database solution very quick and easy. They have good resources for beginers and advanced people alike and an active discord to help out user issues. The UI/UX of managing the databases are good and there is even a free month when just starting out.
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.
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.
What do you dislike about the product?
I think the UI can be very slow to load sometimes, especially when you have many tables, definetly could improve there. I also miss a vector Visializer like that of QDRANT.
What problems is the product solving and how is that benefiting you?
Scalable vector database with flexible quering, need I say more ;)
Computer Software
Great but can be costly for small hobby application
Reviewed on Jan 16, 2025
Review provided by G2
What do you like best about the product?
Reliability and ease of use and integration. Decent documentation
What do you dislike about the product?
The pricing. $50 per month for hobby project adds up.
What problems is the product solving and how is that benefiting you?
Time series based data storage and retrieval.