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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33 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.
Kartikey A.
Effective tool for data insights
Reviewed on Sep 29, 2025
Review provided by G2
What do you like best about the product?
It is easy to access, analyze and visualize data. I really liked how it processes large datasets and provides clear, actionable insights to look for. The dashboard for pc version is also user friendly and customizable, and helps to stay updated for the changing trends in the market. It has definitely improved the speed and accuracy of decision-making in my work. Also, i preferred it's former name (timescale) but new name is also good.
What do you dislike about the product?
there are times when the interface feels a bit heavy, especially when dealing with large volumes of data. The mobile version could also be more optimized for smoother usage on the go with better UI.
What problems is the product solving and how is that benefiting you?
Currently, I am catering a client where i have to deal and analyze good size data where tigerdata comes into the picture.
Computer & Network Security
My Experience using tiger data
Reviewed on Sep 26, 2025
Review provided by G2
What do you like best about the product?
I like the clean and intuitive UI the most. It’s easy to navigate, and I appreciate the ability to pause services whenever needed. The availability of connectors, especially for Amazon S3 and Kafka, makes integration smooth and very useful.
What do you dislike about the product?
The pricing feels a bit high and could be more flexible, especially for smaller projects or startups.
What problems is the product solving and how is that benefiting you?
TigerData solves the usual trade-offs between real-time and analytical workloads: I get fast queries on fresh and historical data both, without needing to build and maintain complex pipelines. Its compression and tiered storage help keep costs down even as data volume grows. Also, the native integrations (lakehouse / S3) reduce overhead, making it easier to focus on insights rather than infrastructure.
Computer Software
Efficient and powerful database platform for scalable analytics
Reviewed on Sep 26, 2025
Review provided by G2
What do you like best about the product?
TigerData stands out for its extremely fast setup, reliable ingestion speeds, and intuitive cloud interface, making it easy to start and scale even complex analytical workloads. Its full PostgreSQL compatibility—plus handy vector database tools—enables seamless migrations and flexible querying without the need to learn new languages or disrupt existing workflows. Active community support through Discord and Slack, plus robust documentation, mean help is always available for developers and admins. Features like continuous aggregation, compression, and automatic partitioning allow teams to optimize performance and save on cloud costs, while its metrics dashboard provides clear insights into database health and usage.
What do you dislike about the product?
Although TigerData is highly performant, the UI can become slow to load when managing many tables, which impacts workflow efficiency for larger projects. Some users note the absence of advanced visualizers for vector data—features seen in competing products—which can limit analytic visualization capabilities. On rare occasions, initial self-hosted deployments may require extra troubleshooting, but most issues are quickly addressed by updates or community help. Additionally, TigerData’s licensing and query costs can be higher compared to certain open-source or basic database offerings, so budgeting is important when scaling up.
What problems is the product solving and how is that benefiting you?
TigerData enables reliable and high-speed storage and analysis for massive time series data, solving scaling bottlenecks and ingestion speed limitations experienced with traditional databases. It helps the team efficiently run real-time analytics, minimizes downtime, and saves on cloud costs thanks to automated compression and partitioning features. This has improved decision-making speed and operational reliability for data-driven products.
Dalius K.
Efficient easy to use platform
Reviewed on Sep 24, 2025
Review provided by G2
What do you like best about the product?
The platform provides various easy-to-use tools for analytics, making analytics simplier
What do you dislike about the product?
Need some time to learn features, have slow customer support.
What problems is the product solving and how is that benefiting you?
TigerData allows us to efficiently store and analyze large volumes of time-series and relational data. It reduces query times, simplifies data management, and provides actionable insights, improving decision-making and operational efficiency
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