Reviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
29 reviews
from
External reviews are not included in the AWS star rating for the product.
Great out of the box solution for any PostgreSQL user
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
Good Service for good storage price
What do you like best about the product?
the functions that can be deployed inside the db's
What do you dislike about the product?
the flexibility in internal configurations
What problems is the product solving and how is that benefiting you?
it does offered a db with good functionalities like creating some cron jobs in it, or transformations.
Switched from AWS
What do you like best about the product?
Pricing compared with AWS is slightly better
What do you dislike about the product?
None (so far),
everything works fine as expected
everything works fine as expected
What problems is the product solving and how is that benefiting you?
Pricing and accessibility with ease of use as administrator
Great Vector Database Solution
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Scalable vector database with flexible quering, need I say more ;)
Great but can be costly for small hobby application
What do you like best about the product?
Reliability and ease of use and integration. Decent documentation
What do you dislike about the product?
The pricing. $50 per month for hobby project adds up.
What problems is the product solving and how is that benefiting you?
Time series based data storage and retrieval.
A great time series database with a great cloud offering
What do you like best about the product?
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
What do you dislike about the product?
Terraform provider not complete yet, missing some open source options to send cloud telemetry instead of Cloudwatch and Datadog
What problems is the product solving and how is that benefiting you?
Time series database for high performance ingress and egress for realtime dashboard monitoring
Great database for time series data
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Ingestion, processing and storage of IoT time series data as a foundation for various services.
Excellent performance in terms of speed and storage dimensions
What do you like best about the product?
I like very much the continuous aggregates and the jobs one can define to regularly update them.
What do you dislike about the product?
There isn't something I dislike. The online documentation is not perfect. I believe it has some room for improvement.
What problems is the product 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.
Timescale Cloud got us up and running quick and easy
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
It can be tedious to size down databases after doing an initial historical load of data and compressing it.
What problems is the product 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.
Efficient Time Series Database with Powerful Aggregation and Exceptional User Support
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product 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.
showing 1 - 10