Sold by: Tiger Data
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Tiger Cloud (from the creators of TimescaleDB) is a fully-managed TimescaleDB solution, hosted on AWS and designed for real-time analytics on high-ingest, high-read time series workloads. Start today with a 30-day free trial.
4.6
Overview
Key Tiger Cloud / TimescaleDB use cases include:
- IoT and Industrial Monitoring: Companies ingesting sensor data from thousands to millions of devices (20M+ measurements per day)
- Financial Services: Trading platforms, Crypto and digital wallets, exchanges requiring analytics, time-weighted averages and real-time aggregations
- Energy (Oil & Gas) and Utilities: Organizations analyzing production data, consumption patterns, and equipment performance
Key Tiger Cloud features:
Built on 100% unforked Postgres, Tiger Cloud is designed to support:
- Automatic partitioning (Hypertables): Turn any Postgres table into a hypertable that automatically partitions data by time (and optionally space/dimension) for fast ingest even as datasets grow.
- Hybrid row/columnar storage (Hypercore): Handle both transactional and analytical workloads efficiently.
- Native compression: Reduce storage costs and speed up analytics by compressing historical data up to 95%, while keeping it fully queryable through the same SQL interface.
- Precompute common analytical queries and refresh them incrementally (Continuous aggregates): Real-time dashboards stay responsive without batch jobs or materialized view maintenance.
- Independent storage and compute scaling: Scale compute resources and storage capacity separately based on actual workload needs and pay only for what you use.
- Automatic data tiering to object storage: Historical data automatically moves to low-cost object storage while remaining queryable. Reduce storage costs without losing accessibility.
- Read replicas for workload isolation: Run analytical queries on dedicated replicas and avoid resource contention with production writes to maintain transactional performance.
- Native Hybrid Search: Combine high-performance HNSW vector search (pgvectorscale) with BM25 keyword ranking (pg_textsearch), without the complexity of managing a separate vector database or Elasticsearch cluster.
- Native integration with your data lakehouse (Tiger Lake): Automatically synchronize hypertables and relational tables running in Tiger Cloud services with Apache Iceberg tables running in Amazon S3.
- Deep integration with your AWS ecosystem: Native ingestion paths for Kafka/Amazon MSK, RDS for PostgreSQL and Aurora PostgreSQL, along with S3 and Postgres connectors stream operational data directly into Tiger Cloud-provides secure connectivity, streaming and batch ingest, observability, analytics, AI and billing.
- Enterprise readiness: Production-grade uptime SLAs, regional data isolation, compliance certifications, backups, High Availability, and 24/7 support reduces operational risk.
Highlights
- 100% unforked Postgres: Full SQL compatibility for rapid adoption and integration.
- Real-time analytics on operational data: hybrid row/columnar storage, incremental materialized views.
- Storage cost optimization: Native data compression (up to 95%).
Details
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Pricing
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Total Commitment Value | $0.01 |
Vendor refund policy
Learn more about our terms of service at https://www.tigerdata.com/legal/timescale-cloud-terms-of-service
Custom pricing options
Request a private offer to receive a custom quote.
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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.com
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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Tiger Cloud (from the creators of TimescaleDB) is a fully-managed TimescaleDB solution, hosted on AWS and designed for real-time analytics on high-ingest, high-read time series workloads. Start today with a 30-day free trial.
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Customer reviews
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