--- 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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DR

Daniel R.

Small-Business (50 or fewer emp.)

10/26/2023

"Great database for time series data"

5/5

What do you like best about Tiger Data?

Still a great work horse for our production work load two years later. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Nothing to improve for our use case, still has all the functionality we need. Review collected by and hosted on G2.com.

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

Ingestion, processing and storage of IoT time series data as a foundation for various services. Review collected by and hosted on G2.com.

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7/13/2026
Current UserValidated ReviewerIncentivizedSource: Organic Review from User Profile

 ![Verified User in Computer Software](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Software")
UC

Verified User in Computer Software

Small-Business (50 or fewer emp.)

9/26/2025

"Efficient and powerful database platform for scalable analytics"

5/5

What do you like best about Tiger Data?

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. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

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. Review collected by and hosted on G2.com.

What problems is Tiger Data 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. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Thomas C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Thomas C.")
TC

Thomas C.

Lead AI Engineer

Small-Business (50 or fewer emp.)

1/16/2025

"Great Vector Database Solution"

4.5/5

What do you like best about Tiger Data?

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. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

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. Review collected by and hosted on G2.com.

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

Scalable vector database with flexible quering, need I say more ;) Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Louis C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Louis C.")
LC

Louis C.

Lead Platform Engineer

Mid-Market (51-1000 emp.)

1/16/2025

"A great time series database with a great cloud offering"

5/5

What do you like best about Tiger Data?

Product is very performant, cloud interface is easy to use but still offers a lot of control, Terraform provider makes setup a breeze and the team has been awesome Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Terraform provider not complete yet, missing some open source options to send cloud telemetry instead of Cloudwatch and Datadog Review collected by and hosted on G2.com.

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

Time series database for high performance ingress and egress for realtime dashboard monitoring Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Verified User in Financial Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Financial Services")
UF

Verified User in Financial Services

Small-Business (50 or fewer emp.)

1/20/2025

"Great out of the box solution for any PostgreSQL user"

5/5

What do you like best about Tiger Data?

Easy to start, easy to maintain, easy to scale Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Recent pricing model change is not ideal Review collected by and hosted on G2.com.

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

Allows to store and query large about of financial time series data Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Verified User in Computer Software](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Software")
AC

Verified User in Computer Software

Small-Business (50 or fewer emp.)

1/17/2025

"Switched from AWS"

5/5

What do you like best about Tiger Data?

Pricing compared with AWS is slightly better Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

None (so far),

everything works fine as expected Review collected by and hosted on G2.com.

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

Pricing and accessibility with ease of use as administrator Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

DS

Dustin S.

Mid-Market (51-1000 emp.)

3/1/2023

"Efficient Time Series Database with Powerful Aggregation and Exceptional User Support"

5/5

What do you like best about Tiger Data?

I've been using Timescale for several months now, and I'm extremely impressed with its performance. The database excels in storing and retrieving time series data, making it an ideal choice for my work. One of its standout features is the ability to aggregate data, which has been incredibly useful for generating insights and reports. Additionally, the compression capabilities are quite powerful, enabling us to store a large amount of data without sacrificing performance.

But what really sets Timescale apart is its outstanding user support. Whenever I've had a question or issue, the team has been quick to respond and provide helpful solutions. Overall, I highly recommend Timescale to anyone in need of a reliable and efficient time series database. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

While Timescale's compression capabilities are powerful, some of the nuances and limitations can be a bit tricky to fully grasp at first. As a result, there may be a learning curve involved in leveraging the product to its fullest capabilities. However, once you become familiar with these nuances, Timescale can be a highly effective tool for managing and analyzing time series data. Review collected by and hosted on G2.com.

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

At our organization, we rely on Timescale to collect and manage meter and site data from a variety of energy management systems across the country. Thanks to Timescale's robust capabilities, we're able to effectively track and analyze this data. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Eudald A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Eudald A.")
EA

Eudald A.

System Design Teacher

Small-Business (50 or fewer emp.)

2/28/2023

"Smooth Migration and Improved Performance with Timescale Cloud"

4.5/5

What do you like best about Tiger Data?

We recently migrated from self-hosted influxDB to Timescale Cloud and couldn't be happier. The transition was smooth and easy, and our engineers love the ability to use SQL instead of a custom query language. We've seen a significant performance increase just by using familiar SQL tricks. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

The only minor complaint we have is that the UI of the Cloud distribution, could use a bit more polishing, and that they are not yet listed on AWS marketplace. However, this hasn't affected the functionality or performance of the product, so it's not a significant issue. Review collected by and hosted on G2.com.

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

At Bloobirds, we were facing several challenges with our previous self-hosted influxDB solution. One of the biggest challenges was that we had to use a custom query language, which required a significant amount of time and resources to learn and use effectively. Additionally, our influxDB solution was not as performant as we needed it to be, especially as our data volumes continued to grow.

By migrating to Timescale Cloud, we were able to address these challenges and benefit from a number of key features. For example, Timescale Cloud allows us to use SQL to query our time-series data, which is much more familiar and easier for our engineers. This has saved us a significant amount of time and resources and has made it much easier for us to get insights from our data.

In addition, Timescale Cloud provides excellent performance, even with large volumes of data. This has allowed us to handle our growing data volumes without experiencing any slowdowns or other performance issues.

Overall, Timescale Cloud has been a major benefit to our organization, allowing us to manage and analyze our time-series data more effectively and efficiently. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

MS

Michael S.

Enterprise (\> 1000 emp.)

2/24/2023

"A performant time-series database built on the rock-solid Postgres DB, with stellar support to boot"

5/5

What do you like best about Tiger Data?

TimescaleDB is an extension of Postgres for time-series. As long-time Postgres users needing a time-series database, we viewed it as a great benefit that TimescaleDB is built on top of a tried and tested technology. In addition, we could continue to use ubiquitous SQL to perform our queries. The particular benefits of TimescaleDB include high compression ratios achieved through type-specific compression (we reached \> 10x compression) along with much more performant time-series queries than standard Postgres. Finally, the suite of hyperfunctions in the TimescaleDB toolkit are particularly useful for our domain (high frequency financial tick data). The Timescale team has also been extremely helpful and supportive through the process of migrating to TimescaleDB. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Migrating large volumes of data to the cloud (~100 TB uncompressed) is time-consuming and requires careful thought. That said, the Timescale team has been a great help to us in navigating this process. Review collected by and hosted on G2.com.

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

The storage and analysis of large volumes of high-frequency financial tick data (market data). These data are the foundation of our analyses as an electronic trading quant team. Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerSource: Organic

 ![Carl C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Carl C.")
CC

Carl C.

Head Of Information Technology

Small-Business (50 or fewer emp.)

2/21/2023

"A high quality time series database that is in production within minutes"

5/5

What do you like best about Tiger Data?

I use timescale cloud; it has been trivial to deploy into our production network (as well as our dev and staging networks).

All of the technical details are abstracted away, but you can get access to them if need be (such as server tuning, etc).

The ability to scale out at the click of a button is great, and the web-based metrics and alerting are also really useful from day one.

Performance seems incredibly good, even on the low-cost plans.

However, the most impressive feature has been the support, both with the personal customer service manager and the engineers' responsiveness and thoroughness (when I have needed to ask a technical question). The engineers are happy to answer questions about general design and best practices, as well as helping solve production issues. Review collected by and hosted on G2.com.

What do you dislike about Tiger Data?

Timescale cloud is somewhat locked down, i.e. no direct superuser access, which can be a bit hard to get used to at first. However, it is workable - there's nothing I haven't been able to achieve so far using the standard cloud setup. Review collected by and hosted on G2.com.

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

We need to store high volumes of time series data, compress this data, retain some but not all of it, have it searchable in an efficient way, and also aggregate the raw data into daily/hourly summaries. Timescale does all of that. Review collected by and hosted on G2.com.

Show More

Current UserValidated 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

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_cb20e706249d2e3e480af0023354f5b1/influxdata-influxdb.png "Product Avatar Image")

InfluxDB

4.4/5(101)

[
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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_4f85992d599388a8385f850885cc117b/questdb.jpg "Product Avatar Image")

QuestDB

4.8/5(35)

[
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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_4c97019e94801ee05f06e401c82e23f3/prometheus.png "Product Avatar Image")

Prometheus

4.5/5(62)

[
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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)

## Top-Rated Alternatives

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4.6/5(764)

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[

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

InfluxDB

4.4/5(101)

](https://www.g2.com/products/influxdata-influxdb/reviews)

[

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Google Cloud SQL

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[
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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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