Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
Competent time-series database with great community
What do you like best about the product?
QuestDB fits our needs. We handle and analyze large datasets of cell growth data with measurements over time, often as CSV files. This time-series-based database fits our use case very well. By importing it into an SQL database, developers can quickly implement a convenient and known way to get statistics from selections made in the front end.
We look forward to integrating streaming data from measurements into the database at a later point, but we are not there yet. We know that it is possible in this setup.
Also, the Slack channel is friendly, and the direct contact with developers is excellent.
We look forward to integrating streaming data from measurements into the database at a later point, but we are not there yet. We know that it is possible in this setup.
Also, the Slack channel is friendly, and the direct contact with developers is excellent.
What do you dislike about the product?
I have nothing big to complain about, but if I have to complain about something, there was one non-backwards-compatible upgrade. It was fixed on our side but unexpected from the usually very stable product development.
What problems is the product solving and how is that benefiting you?
As our data is a time series, it fits our needs like a hand in a glove. Also, the automatic CSV import made our development time significantly shorter, saving the company a lot of money.
- Leave a Comment |
- Mark review as helpful
The only choice to use in embedded mode
What do you like best about the product?
Our project have been using Solr as a statistics data storage for years. It was not a right decision because Solr is not good solution for realtime data processing. The best approach in our case is a time series database. Using such DB in embedded mode was another important requirement. There are a lot of competitors in this market, but QuestDB was the only one who offers embedded mode. So we gave a chance to QuestDB and never regreted.
It`s great to see the rapid evolution of QuestDB. The developers team constantly introduces new features, improvements and bug fixes.
Also want to note an excellent support. The ability to ask a question directly to developers and get answer in Slack channel is a really cool.
It`s great to see the rapid evolution of QuestDB. The developers team constantly introduces new features, improvements and bug fixes.
Also want to note an excellent support. The ability to ask a question directly to developers and get answer in Slack channel is a really cool.
What do you dislike about the product?
Actually the embedded mode chapter looks to be the smallest part of documentation. It would be nice to add some best practice advices and code examples.
What problems is the product solving and how is that benefiting you?
The biggest problem to solve was real time processing and storing statistical data our application collect from various sources. These data should be used for building reports and charts.
QuestDB perfectly fits our needs.
QuestDB perfectly fits our needs.
Set it & forget it
What do you like best about the product?
Byond QuestDB being *incredibly fast*, it's also a joy to use. And more importantly, it's not a pain to use. Other DBs require more ongoing maintenance, troubleshooting, etc. QuestDB truly is a "set it & forget it", trustworthy DB that shines in production workloads.
The inbuilt SQL extensions and curated dialect make writing QuestDB SQL fast, fun, and powerful. The inbult REST support, in addition to the InfluxDB Line Protocol & PG Wire connection methods allow the user to select the best tool for the job.
Being open source, the deployment flexibility is fantastic. The QuestDB team regularly meets with us to ensure we're satisfied, and they regularly ship impactful features.
QuestDB is my definitive go-to for all timeseries needs!
The inbuilt SQL extensions and curated dialect make writing QuestDB SQL fast, fun, and powerful. The inbult REST support, in addition to the InfluxDB Line Protocol & PG Wire connection methods allow the user to select the best tool for the job.
Being open source, the deployment flexibility is fantastic. The QuestDB team regularly meets with us to ensure we're satisfied, and they regularly ship impactful features.
QuestDB is my definitive go-to for all timeseries needs!
What do you dislike about the product?
The QuestDB web console UI is helpful for adhoc exploration, but does not currently have a means of organizing / saving queries, so it gets messy fast. Additionally, some BI solutions (like PowerBI) or downstream applications can't connect to QuestDB's flavor of PG Wire, so we've had to go through the REST API in these cases. Fortunately, the QuestDB team is on it and anticipates delivering a fix to that soon.
What problems is the product solving and how is that benefiting you?
We've tried Timescale, which simply takes just too much maintenance & configuration to optimize performance and stay agile. QuestDB requires almost no ongoing configuration because it ships incredibly fast by default. QuestDB eliminates the friction in storing & querying timeseries data.
Very easy to onboard
What do you like best about the product?
I had invested a lot of time prototyping a project with another time-series database and was finding a lot of pain points. I decided to give QuestDB a go, and the transition process was really easy and most of the issues I had with the other DB simply went away. Additionally, I gained valuable time when my application starts and has to read current state from the DB... QuestDB delivered my data in half the time the other DB did. I also like the SQL syntax - it's just one less new thing I need to pick up when starting with QuestDB. The free/open source version is great for my purposes.
What do you dislike about the product?
Documentation is pretty good, but I would like to see some more around best practices, particularly with how to design a schema that is optimal for my needs.
What problems is the product solving and how is that benefiting you?
I need to keep track of the current state of about one million data points that change over time. QuestDB had made this simple to do.
Exceptionally fast Time series database
What do you like best about the product?
+ Very fast
+ Extremly feature rich
+ Nice time Zone Handling integrated
+ Very fast en knowledgable support
+ Easy to setup
+ Extremly feature rich
+ Nice time Zone Handling integrated
+ Very fast en knowledgable support
+ Easy to setup
What do you dislike about the product?
- Limited regions in their cloud offering
What problems is the product solving and how is that benefiting you?
We were strugling to find a database which allows us to handle time series from different time zones. We really love the fact that you can align all the data to a specific time zone at query time. This saved us hours of coding.
QuestDB is a fantastic time series database for any project with latency requirements.
What do you like best about the product?
QuestDB is extremely performant. Both with data ingest and querying the performance is unmatched. It is reliable and fast enough for any financial application you might need it for. It is easy to set up and get started with right away with a local database and you are off running.
What do you dislike about the product?
QuestDB is still working on maturing in some aspects. The documentation is lacking in a few areas. There are also no hosted options for QuestDB so you have to host yourself.
What problems is the product solving and how is that benefiting you?
We are using it for storing and querying live streaming pricing data.
The fastest evolving time-series database: QuestDB for sure!!
What do you like best about the product?
- Very responsive and co-operative support from developers/community.
- Helpful features already up and running from various versions, many more to come in the future!
- Clear roadmap that clarifies what we can expect and when.
- Loads of tools to intergrate with.
- Helpful features already up and running from various versions, many more to come in the future!
- Clear roadmap that clarifies what we can expect and when.
- Loads of tools to intergrate with.
What do you dislike about the product?
- Current data storage feature consumes more storage, however the upcoming parquet file format shall reduce it.
What problems is the product solving and how is that benefiting you?
- Currently, we are using QuestDB to visualize our time-series customer data with Grafana.
- Thanks to the developers, they released an official version supporting Grafana upon the réquest. Also, using ZFS compression enabled for additional data compression.
- We had the old customer data in the legacy MySQL formats and QuestDB simplifies every work, especially ingestion speed is very helpful.
- I, as a developer, am currently looking forward to the parquet file version that further simplifies our development process.
- Thanks to the developers, they released an official version supporting Grafana upon the réquest. Also, using ZFS compression enabled for additional data compression.
- We had the old customer data in the legacy MySQL formats and QuestDB simplifies every work, especially ingestion speed is very helpful.
- I, as a developer, am currently looking forward to the parquet file version that further simplifies our development process.
Great DB for real-time analytics
What do you like best about the product?
So, we had this real-time analytics use case and we're searching all across for the right time series database with a lightening performance. We landed up to an ad on Google mentioning QuestDB as a better alternative.
We went through their deep dive blog comparing both the DB archs and we understood the gains are on the upside.
Upon testing, it proved to be an excellent choice. Started using it extensively and found it to deliver on its promises.
Another thing we liked is their open Slack community always ready to help with any issues we might have. A big PLUS in my eyes.
We went through their deep dive blog comparing both the DB archs and we understood the gains are on the upside.
Upon testing, it proved to be an excellent choice. Started using it extensively and found it to deliver on its promises.
Another thing we liked is their open Slack community always ready to help with any issues we might have. A big PLUS in my eyes.
What do you dislike about the product?
Since this is a newer offering compared to the other DBs, it has its pain points. Like random "table suspended" issues with health checks not updating properly requiring manual restarts, and other minor hiccups.
They do take feedback consistently improving their DB and clients like recently they upgraded from TCP to TCP over HTTP on all their clients to rectify our above mentioned issue.
Overall, I would say although it's a newer alternative, it's evolving rapidly, and I would suggest anyone looking for a time series DB, do give this a try.
They do take feedback consistently improving their DB and clients like recently they upgraded from TCP to TCP over HTTP on all their clients to rectify our above mentioned issue.
Overall, I would say although it's a newer alternative, it's evolving rapidly, and I would suggest anyone looking for a time series DB, do give this a try.
What problems is the product solving and how is that benefiting you?
It's helping us ingest real-time analytics events from our users.
Quick, simple, easily deploy-able for the enterprise
What do you like best about the product?
QuestDB is easy to deploy, the documentation available is great, and the value of the product is superb.
Overall it was very easy to implement.
Overall it was very easy to implement.
What do you dislike about the product?
I'd like to have the ability to centrally control multiple DB instances at the same time.
There's no native OPC-UA support for manufacturing. Not that it can't be done, just that it's not a native source feature.
There's no native OPC-UA support for manufacturing. Not that it can't be done, just that it's not a native source feature.
What problems is the product solving and how is that benefiting you?
QuestDB helps to solve a variety of business problems. It's where we store central machine data to help with predictive and preventative maintenance.
A fantastic user experience for a fantastically fast database
What do you like best about the product?
We recently evaluated several options for storing high frequency historical market data. Our initial choice was TimescaleDB because we use Postgres however it was simply not fast enough for our use case. Eventually we found QuestDB and though it was missing a few 'nice to have' features, it more than delivered on speed and ease of use.
Their support team has also been great with helping us out whenever we need it, certainly one of the best support experiences from any of the services we have enterprise contracts with.
Their support team has also been great with helping us out whenever we need it, certainly one of the best support experiences from any of the services we have enterprise contracts with.
What do you dislike about the product?
It's not quite as feature rich as other options, specifically we are very much looking forward to materialised view support!
What problems is the product solving and how is that benefiting you?
Storing many thousands of records per second and powering an api that is used to analyse this data via both adhoc queries and a frontend charting app that is hooked up to quest via an intermediate api service that handles auth and caching.
showing 1 - 10