--- title: Tiger Data Reviews meta\_title: 'Tiger Data Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 33 reviews by the users' company size, role or industry to find out how Tiger Data works for a business like yours. aggregate\_rating: rating\_value: 4.6 review\_count: 33 scale: '5' date\_modified: '2026-08-07' parent\_category: name: Database Software url: https://www.g2.com/categories/database-software ---

# Tiger Data Reviews & Product Details

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Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2

* * *

Product Website
Tiger Data
Seller
[Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
Discussions
[Tiger Data Community](https://www.g2.com/products/tiger-data/discuss)
Solution Type

All-in-One

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## Pricing

Pricing provided by Tiger Data.

### Free

Free Trial

[
View More Pricing Information
](https://www.g2.com/products/tiger-data/pricing)

## Tiger Data Integrations
(75)

What do users say about integrations?

Verified by Tiger Data

[

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 ![Victor L.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Victor L.")
VL

Victor L.

Small-Business (50 or fewer emp.)

2/12/2023

"Data warehouse for time-series data"

5/5

What do you like best about Tiger Data?

- Timescale is a PostgreSQL extension, so the team was able to leverage all of our previous knowledge of PostgreSQL and standard SQL

- Hypertables and continuous aggregates deliver a massive performance boost for both data ingest and data queries

- Unlike many other time-series databases, which seem to be optimised purely for IoT-like use cases, Timescale was able to handle \*mutable\* time-series data.

- Active and helpful community (on Slack) Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

- Managed hosting options (Timescale Cloud and MST) can get expensive, especially as resource requirements grow

- Difficult to retrieve logs & metrics for a specific date range via MST console Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

We store massive amounts of marketplace data in Timescale. Previously, on other RDBMS systems, performance for both data ingest and data query become exponentially worse as data volumes increase. With Timescale, we have been able to maintain a high data ingestion rate over time, and leverage capabilities like hypertables and continuous aggregates to deliver decent performance for real-time queries, even over extended time ranges. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Panos M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Panos M.")
PM

Panos M.

Small-Business (50 or fewer emp.)

10/4/2023

"Excellent performance in terms of speed and storage dimensions"

5/5

What do you like best about Tiger Data?

I like very much the continuous aggregates and the jobs one can define to regularly update them. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

There isn't something I dislike. The online documentation is not perfect. I believe it has some room for improvement. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

It solves the problem of building up time-based reports on multiple dimensions. We use these to prepare to present our creators with analytics on how listeners they listen to audio content published. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![DeltaSquared .](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "DeltaSquared .")
D

DeltaSquared .

Software Engineer

Small-Business (50 or fewer emp.)

2/28/2023

"It really is "just PostgreSQL" for time series data"

5/5

What do you like best about Tiger Data?

I did not have to learn any groundbreaking technology to become an expert at analyzing time series data hosted with TimescaleDB. That in itself makes TSDB groundbreaking. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

You will end up putting TimescaleDB proprietary query logic into your system. There is no way around it unless you build your own custom interface against Timescale. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

Timescale efficiently and fully aggregates multiple time windows of any domain data I throw at it. It would be such a tedious development task to maintain that feature. Yet, because TimescaleDB solves this at the database later I don't have to worry about it at all on my application layer! All of my business logic can relate to WHY the time series data relates to each other rather than how I manage the relation. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Kenny C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Kenny C.")
KC

Kenny C.

Small-Business (50 or fewer emp.)

2/28/2023

"The best time series database in 2023 is not a time series database"

4/5

What do you like best about Tiger Data?

Timescale has predictable cost anchored in familiar reality; it is driven by storage volume and system load. You don't have that familiar, awful cardinality problem that is common to \_every\_ tag-set-series data model system. It performs very well and predictably. It's really awesome.

It's open source and self-hosting is easy: It is postgresql. You already know what self-hosting implies from that one statement and whether you're willing to do it. If you're not, you can pay Timescale to do it for you with Timescale Cloud. In my experience, Timescale Cloud was very effective for the months my team used it.

Their community is great, and the Timescale maintainers actually address issues reported by the community (including me personally)! It was a welcome 180 degree change from the seemingly antagonistic stance certain other related open source projects take toward their community. Their people are really good. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

There's no well-defined guidance about how time series data should be generally modeled in Postgresql. There are helpful discussions about EAV and wide schemas, but up to now, Timescale seems to shy from taking a stance.

Also, ingesting data is a pain if you don't already have some postgresql tie-in for your service. It's not really the best way to ingest time series data from disparate service hosts though; you'll have connection count issues and weird back pressure. Upgrades become very difficult that way (just ask Promscale about that, RIP). I would love to see real direct RPC integrations with de-facto standards like opentelemetry (gag) and better standards like goodmetrics on the TimescaleDB host process itself. This would make TimescaleDB's time series ingest from service hosts perfectly seamless, and would establish common standards for data modeling. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

Internal service operations metrics. Monitoring and alerting on microservice performance, errors and the like. Root causing bad system behaviors via rich dimensionality for metrics data and expressive SQL. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

KF

Ken F.

Mid-Market (51-1000 emp.)

2/23/2023

"The Easiest, Fastest and Most Cost Effective Time Series Database - Period"

5/5

What do you like best about Tiger Data?

We loved the ease of installation and the familiarity of Timescale with PostgreSQL. It was easy to get started, and it has been easy to maintain the database. Most importantly, the ingestion rate is INSANE, even on a small server instance. The time\_bucket() and time\_bucket\_gapfill() functions in queries make retrieval of our data a trivial issue, so we can focus on our business needs instead of lengthy development cycles. Also, Timescale maintains an active Slack channel where we can find the support we need. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

I'm wracking my brain to find anything I dislike about using TimescaleDB. The only issues we experienced during the implementation and upkeep of our self-hosted TimescaleDB instances have all been addressed either by small code changes or by the improved TimescaleDB version releases. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

We needed to find a time series database solution with a high ingestion rate due to the speed of telemetry data coming from our devices. The added benefit of the fact that the software is essentially free for the community edition is the icing on the cake. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Logan N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Logan N.")
LN

Logan N.

Director of Software Engineering

Small-Business (50 or fewer emp.)

3/7/2023

"Timescale Cloud got us up and running quick and easy"

5/5

What do you like best about Tiger Data?

We were evaluating technologies for hosting time series data and came across TimescaleDB and Timescale Cloud. We were able to get up and running in minutes, to be able to evaluate the technology, and we have been running it in production for the past year now.

The support has been stellar, and the service does exactly what we needed. We haven't had any issues with performance or downtime and currently host ~15 instances with Timescale Cloud. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Some of the enterprise features around Disaster Recovery are still in development.

It can be tedious to size down databases after doing an initial historical load of data and compressing it. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

We store operational data for our SaaS product in Postgres alongside time series data, like SCADA, for analytics and visualization. Timescale makes storing and managing the time series data simple, performant, and efficient. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

MP

Mathias P.

Small-Business (50 or fewer emp.)

2/14/2023

"A migration we like to think back to"

4.5/5

What do you like best about Tiger Data?

Timescale enabled us to reduce complexity in our codebase by using its built-in functions.

Achieved 50% cost savings while even improving performance.

Great docs; they not only help you to get a PoC running (where documentation typically starts to thin out) but also cover what you need to run in production.

Customer success team really lives up to its name. Got us access to engineers when it was necessary and helped to prioritise some features we needed. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Backfilling data into already compressed chunks could be more performant Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

Storing a lot of IoT data, running analytics against it, and visualizing raw data on demand. Initally used MS SQL but had to write a lot of code for partitioning and some of the more complex queries. Timescale takes care of that for us now. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Simon .](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Simon .")
S

Simon .

Automation Engineer

Mid-Market (51-1000 emp.)

2/14/2023

"Flexible database service and g"

3.5/5

What do you like best about Tiger Data?

- I have personally only had positive experiences from Timescale's support. They have been helpful and responsive in answering our questions and helping us optimize our instances, for example by setting up compression.

- Flexible and PostgreSQL based.

- Good documentation and open source. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

They do not offer the same functionality in their Managed and Cloud services. Unfortunately, a portion of the functionalty that would be useful for us is not available in Managed, and Coud is not available in our region. I know they are working on this so this might change in the future! Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

High data ingest and performant queries. With Timescale we can be flexible and it's quick to for example set up new aggregations for our use cases. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Patrick P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Patrick P.")
PP

Patrick P.

Fondateur et Président

Small-Business (50 or fewer emp.)

2/22/2023

"Real time tracking app for watersport enthusiasts build on a time series & geo-spatial database."

4.5/5

What do you like best about Tiger Data?

- Performance for time series real time data processing.

- Relational database as a service -\> less system skills and sysadmin tasks

- Support responsiveness Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

- lack of superuser rights preventing the use of some extensions such as pgTap or pg\_cron

- no easy solution to trigger processing outside the database. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

Ingesting, cleaning, contextualizing and visualizing in realtime a lot of navigation data coming from a lot of different sources.

This is a core technology, simply critical to grow our business. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

CP

C P.

Small-Business (50 or fewer emp.)

3/1/2023

"Great support, questions are answered almost immediately"

5/5

What do you like best about Tiger Data?

Basically no weird issues that one often finds with newish software. Haven't had to jump through strange SQL hoops, or weird commands. Stuff just works more or less like any old relational DB. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Only odd thing is the get-size commands are not obvious. Since you are actually creating many tables, some of the commands on normal tables need something different. Review collected by and hosted on G2.com.

What problems is Tiger Data solving and how is that benefiting you?

We store huge amounts of financial data Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

## Pricing Options

Pricing provided by Tiger Data.

### Free

Free Trial

### Performance

Starting at $30.00

Per Month

### Scale

Starting at $36.00

Per Month

[
View More Pricing Information
](https://www.g2.com/products/tiger-data/pricing)

Tiger Data Comparisons

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##### 
##### Tiger Data Features

Database Features

Availability

Stability

Configuration

Application Performance

Database Monitoring

Network Security

Database Administration

Provisioning

Auditing

Availability

Scalability

Backup

Indexing

[
View More Features
](https://www.g2.com/products/tiger-data/features)

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##### Categories on G2

[Cloud Platform as a Service (PaaS)](https://www.g2.com/categories/cloud-platform-as-a-service-paas)[Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)[Relational Databases](https://www.g2.com/categories/relational-databases)

[Cloud Platform as a Service (PaaS)](https://www.g2.com/categories/cloud-platform-as-a-service-paas)[Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)[Relational Databases](https://www.g2.com/categories/relational-databases)[Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)[Columnar Databases](https://www.g2.com/categories/columnar-databases)[Time Series Databases](https://www.g2.com/categories/time-series-databases)[Vector Database](https://www.g2.com/categories/vector-database)[Real-time Analytic Database](https://www.g2.com/categories/real-time-analytic-database)

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