Tiger Data Reviews & Product Details

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.

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.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The platform provides various easy-to-use tools for analytics, making analytics simplier Review collected by and hosted on G2.com.

Need some time to learn features, have slow customer support. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The pricing feels a bit high and could be more flexible, especially for smaller projects or startups. Review collected by and hosted on G2.com.

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.

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.

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.

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.

the functions that can be deployed inside the db's Review collected by and hosted on G2.com.

the flexibility in internal configurations Review collected by and hosted on G2.com.

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

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

Reliability and ease of use and integration. Decent documentation Review collected by and hosted on G2.com.

The pricing. $50 per month for hobby project adds up. Review collected by and hosted on G2.com.

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

None (so far),

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