28 out of 29 Total Reviews for Timescale
Overall Review Sentiment for Timescale
Log in to view review sentiment.
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.
Timescale is a powerful extension to Postgresql with special features for time series data storage and processing. It has proven very useful in our IoT projects, where the compression keeps disk usage to a minimum and the continuous aggregates give a very quick overview of the data. And since it's all Postgres - no need to learn a new query language.
The managed Timescale cloud service is a cost effective and stable alternative for us, since we don't have the resources to maintain the required infrastructure and installation. Added to this, there is a strong community and helpful support should one need guidance along the road to production. Review collected by and hosted on G2.com.
Well, not really a dislike, but at a first glance Timescale may possibly be perceived as an easy-to-use product where a few clicks of a button gives you an optimal setup. However, it's still a database with an extra layer of added functionality, which requires a few runs down various rabbitholes to utilize its full power. A helpful community, a responsive support and well-written docs are great aids during this exercise. Review collected by and hosted on G2.com.
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.
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.
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.
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.
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.
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.
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.
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.
