# QuestDB Reviews **Vendor:** QuestDB **Category:** [Time Series Databases](https://www.g2.com/categories/time-series-databases) **Average Rating:** 4.8/5.0 **Total Reviews:** 35 ## About QuestDB QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions and cold history in Parquet/object storage, queried via one SQL layer. Vectorized, columnar execution delivers high-throughput ingest and millisecond queries. Open formats (Parquet/Arrow) make it AI-ready and lock-in free. Deploy self-hosted or in your cloud (BYOC). ## QuestDB Reviews ### 1. QuestDB is a strong choice for time series in 2025 **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** March 18, 2025 **What do you like best about QuestDB?** Performance is extremely high, and they’ve recently added statistics and window based functions which make calculating trends on the fly all in SQL very easy to achieve. Their support team is very responsive and knowledgeable, and an absolute pleasure to work with. Quest has been very stable as well. **What do you dislike about QuestDB?** Only limitations currently are such that for parallel ingestion runs you have to scale vertically rather than horizontally, but that’s an extremely minor qualm considering how great the overall experience is. **What problems is QuestDB solving and how is that benefiting you?** Realtime analytics and trends analysis, fast data ingestion, strong stability. ### 2. Game changer in Time Series Databases **Rating:** 5.0/5.0 stars **Reviewed by:** Ajay P. | Senior Manager, Enterprise (> 1000 emp.) **Reviewed Date:** September 19, 2023 **What do you like best about QuestDB?** At my organization, we needed to build a real time analytics system for OTT streams and for this we needed a solid Time Series Database. Initally we were using elastic search but once we needed to scale up we consistently faced latency issues. So we needed a TimeSeries database which could handled load of billions rows every day. We decided to give Timescale DB a try and there also we faced multiple issues regarding latency. Then we discovered QuestDB and it was a game changer for us. After initial analysis we found that QuestDB is more performant than Timescale and Elasticsearch so we decided to give it a chance. Our use case was to ingest 3 million rows per second and QuestDB was able to handle this load easily. We have been Using QuestDB since 2022 now and we never looked back for another database. **What do you dislike about QuestDB?** We have been using QuestDB for last two years and haven't found any issues so far. **What problems is QuestDB solving and how is that benefiting you?** We are an OTT company so we need to collect cdn logs and analyze them to find most streamed contents. These logs come according to timestamp so we needed a time series database. Intially we were ingesting 5k rows per second and Elasticsearch was sufficient for this use case but as scale grew we needed a more performant database. For this we done analysis on TimeScale and QuestDB. With QuestDB we were able to ingest 3 Million rows per second with minimal delay. With timescale while we were facing latency on simple group by queries (upto 30 seconds), Quest DB was able to perform same queries under 500 milliseconds. So to summarize we needed a both read and write performant DB and QuestDB was able to achieve both. ### 3. QuestDB for streaming high volume and dynamic sensor data **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel W. | CEO & Main worker/developer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** The simple deployment and upgrade processes. The ability to manage dynamic data with varying variables/sensors per row. **What do you dislike about QuestDB?** The lack of a compressed format for exporting or for returning large result sets. Given the recent developments with added parquet support I guess this situation might change soon. **What problems is QuestDB solving and how is that benefiting you?** Persisting and analysing/querying large sets of sensor data from various PLC machines. At a client we have a setup with various PLC machines with different sensors attached. We sample data of some 100-300 variables at rates of 500Hz to 1kHz. Initially we tried other solutions with bad performance due to the varying datasets. Other solutions struggled with performance when the datamodel got updated (added or removed sensors). With QuestDB we managed to easily deploy a setup where ingesting this type of data was no problem. We went with small edge-deployed servers dealing with single PLC and a two larger QuestDB instances where one was used to aggregate data for all PLC's to facilitate any near-realtime queries of status of all PLC's and the other larger instance was used to persist data-sets that was classified as valuable to keep for long term analysis. Having the http/rest-api allowing ingestion and queries simplifies integration with other systems of ours without the need to link to specific database libraries. The built-in UI that houses query capabilities among others allow us to run quick tests and concepts and in recent releases this also hints at bad server configurations and how to fix some bad server configuration to get the best QuestDB experience. As a developer I have really enjoyed the open and welcoming attitude by the QuestDB developers. They have actively listened and implemented a lot of end-user suggestions. ### 4. Competent time-series database with great community **Rating:** 4.5/5.0 stars **Reviewed by:** Stefan E. | Senior developer and Security Champion, Small-Business (50 or fewer emp.) **Reviewed Date:** August 21, 2024 **What do you like best about QuestDB?** 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. **What do you dislike about QuestDB?** 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 QuestDB 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. ### 5. Set it & forget it **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** August 19, 2024 **What do you like best about QuestDB?** 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! **What do you dislike about QuestDB?** 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 QuestDB 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. ### 6. Very easy to onboard **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Mining & Metals | Enterprise (> 1000 emp.) **Reviewed Date:** August 13, 2024 **What do you like best about QuestDB?** 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 QuestDB?** 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 QuestDB 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. ### 7. Great DB for real-time analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Rishabh A. | Technical Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** 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. **What do you dislike about QuestDB?** 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. **What problems is QuestDB solving and how is that benefiting you?** It's helping us ingest real-time analytics events from our users. ### 8. A fantastic user experience for a fantastically fast database **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** 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. **What do you dislike about QuestDB?** It's not quite as feature rich as other options, specifically we are very much looking forward to materialised view support! **What problems is QuestDB 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. ### 9. The only choice to use in embedded mode **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 19, 2024 **What do you like best about QuestDB?** 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. **What do you dislike about QuestDB?** 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 QuestDB 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. ### 10. The fastest evolving time-series database: QuestDB for sure!! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Machinery | Enterprise (> 1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** - 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. **What do you dislike about QuestDB?** - Current data storage feature consumes more storage, however the upcoming parquet file format shall reduce it. **What problems is QuestDB 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. ### 11. Harnessing QuestDB for Renewable Energy Telemetry **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel P. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 20, 2024 **What do you like best about QuestDB?** QuestDB shines as a high-performance, time-series database that seamlessly integrates with our renewable energy telemetry platform. Its exceptional ingestion speed, capable of processing millions of rows per second, aligns perfectly with the high-velocity data from our sensors. The SQL and time-series extensions offer a developer-friendly experience, making it straightforward to create complex queries for real-time analytics. Additionally, its compatibility with Grafana enables us to effortlessly visualize data trends, historical records, and sensor data, providing invaluable insights into our operations. The open-source nature of QuestDB, coupled with its enterprise-grade features like role-based access control and multiple availability zones, offers both flexibility and reliability, ensuring our data is not only accessible but also secure. **What do you dislike about QuestDB?** While QuestDB offers numerous advantages, its documentation and learning curve can pose challenges for new users unfamiliar with time-series databases. Navigating through its advanced features and optimizing queries for maximum performance may require a bit more initial effort and exploration. Additionally, although QuestDB's community and support are growing, the ecosystem is not as vast as some other databases. **What problems is QuestDB solving and how is that benefiting you?** QuestDB is solving the problem of efficiently managing and querying large volumes of time-series data. Its high-performance design benefits users by enabling fast data ingestion and real-time analytics. This is particularly useful in our renewable energy telemetry platform, where the ability to quickly process and visualize data from sensors helps in monitoring and optimizing energy production, detecting anomalies, and making data-driven decisions. The speed and efficiency of QuestDB significantly enhance our operational capabilities and contribute to more effective management of renewable energy resources. ### 12. QuestDB is a fantastic time series database for any project with latency requirements. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** 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 QuestDB?** 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 QuestDB solving and how is that benefiting you?** We are using it for storing and querying live streaming pricing data. ### 13. Quick, simple, easily deploy-able for the enterprise **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about QuestDB?** 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. **What do you dislike about QuestDB?** 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. **What problems is QuestDB 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. ### 14. Exceptionally fast Time series database **Rating:** 5.0/5.0 stars **Reviewed by:** Flavio M. | Technical Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2024 **What do you like best about QuestDB?** + Very fast + Extremly feature rich + Nice time Zone Handling integrated + Very fast en knowledgable support + Easy to setup **What do you dislike about QuestDB?** - Limited regions in their cloud offering **What problems is QuestDB 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. ### 15. A WIDE range of uses for QuestDB **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2024 **What do you like best about QuestDB?** QuestDB and it's development team have enabled us to shape our product to our liking. We are working with very large datasets 6000+ columns x 150 rows per second and questdb has enabled us to ingest that quickly. This one feature cannot be understated as we found ourselves limited by an SQL restriction of 4096 columns in other databases. In our year of using QuestDB, the development team has made tremendous progress. In a recent release, a commit was made "5x speed up of WAL Apply for small transaction and add SQL" that opened up a whole new world of speed for us. If you tried it before and it wasn't quite there yet, I would reccomend trying it again, as this single update really allow us to be near livestreaming of all this data. We love that QuestDB uses a SQL backend, as that enables us to quickly bring new team members up to speed. Another huge benefit has been QuestDBs developer connected slack channel. When things have gone wrong, the developers at QuestDB have been quick to step in and provide feedback (generally on what we are doing wrong! haha). Occasionally we have had real bugs, and have seen a direct improvements in the next release cycle. Another benefit we've found has been the variety of languages QuestDB supports. We were quick to integrate with a pandas ingestion libaray and have been off to the races since. **What do you dislike about QuestDB?** There are drawbacks to a newer product like QuestDB. For us it has been mostly minor things as we are building a product from scratch. Not being in production has its benefits. Mostly for us, is it took a decent amount of effort to figure out what was going wrong when it did go wrong. It takes some time to grok that while a failed ingestion via pandas doesn't directly tell you what you did wrong, the logs WILL tell you. Or when you broke your table from having Linux having too low of a max open files amount, we were initially unsure why ingestion just suddenly stopped. I have since seen most of these addressed in the Documentation, as more guinea pigs like myself have bumped into them, so that is great! **What problems is QuestDB solving and how is that benefiting you?** QuestDB is allowing us to run analysis and daily KPIs on data we stream from our equipment. ### 16. QuestDB: Performant Time Series suitable for Quant Trading **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 25, 2024 **What do you like best about QuestDB?** As a quant researcher that need to monitor and diagnose details from high frequency sampling of market and trading data, QuestDB has proved to be reliable, performant and easy to use. Specifically I like 1. Helpful time series features that neatly fit the use cases in high frequency trading. E.g. the symbol data type, the sample by, asof join, the window function(could be more complete) etc. 2. High efficiency so that don't need to spend much on the hardware. A couple of hundred million rows with wide columns on a 4-core box serve my needs pretty well 3. Some user-friendly features that makes it easy to get data into the DB. Specifically I like the the flexible table schema, which caters to the need for constantly evolving data columns. The web UI is nice (though could be more polished). The InfluxDB line protocol supports very simple python code to upload pandas dataframes. **What do you dislike about QuestDB?** It took me quite some time to figure out some initial performance issues. It turns out that I need to do quite some adjustments to the configurations and linux kernel settings. QuestDB website has some sections dedicated to performance tuning. Maybe the doc would present some typically setup configs that cover most common use cases. After reading through the docs and made the changes, the DB sprang to full charge. Another issue I bumped into was how to recover the table after the linux box crashed. I couldn't figure out to why the inserts no longer works after the box is rebooted. In the end I joined the slack channel to ask the question. Thankfully Nicolas showed me the command to resume WAL, which eventually saved my table. So basically I need to read the doc to understand the WAL. I think my efforts so far has paid off well. The doc could add more examples to highlight some tricky but still quite common cases. **What problems is QuestDB solving and how is that benefiting you?** realtime monitoring and diagonsis ### 17. Awesome timeseries database : feature-rich with great DX, great doc and support, and it's so fast ! **Rating:** 5.0/5.0 stars **Reviewed by:** Mathieu H. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 22, 2024 **What do you like best about QuestDB?** - We have been using QuestDB Cloud continuously for months to store weather data from sensors, and the price/ performance/DX ratio is hard to beat. Compared to well-known time series databases, QuestDB Cloud is by far the best tool for our needs. - Thanks to the open source Docker image, we were able to add QuestDB to our local development environment in a matter of minutes. - It's easy to use, it's so fast and it just works! - The developer experience is wonderful: everyone in the team has a great time working with it, and QuestDB appears in the "what went well" in every sprint review. - Really clever extension of the SQL language to make working with time series data much easier. - It's flexible: we can pause the instance, and we can easily increase/decrease instance resources as needed from our account, which helps control the cost of dev/staging instances. - The UI is responsive and well thought out, and the monitoring tool is very useful. - Documentation is clear and detailed. - The support is fantastic: very responsive and really helpful, with detailed explanations each time that have helped us a lot! And unlike other managed solutions, support is included in the price. - New features are released regularly and the roadmap shows exciting things to come. For example, cold storage support for old data is coming soon, with the ability to query this old data. This feature will be a big plus for us. **What do you dislike about QuestDB?** Some features are still missing (like row deletion or full join), but we're waiting for these features to come in the future. **What problems is QuestDB solving and how is that benefiting you?** We need to be able to read and write a lot of data at the same time, with great performance. A great developer experience is also important. The team loves working with it and is more productive thanks to a well-designed product. We needed a managed database that would allow us to focus on development rather than database administration. QuestDB meets all our needs perfectly. And the support team has helped us a lot and saved us a lot of time. ### 18. One of the best Open Source projects with top level support from Team and community! **Rating:** 5.0/5.0 stars **Reviewed by:** Lasse T. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2024 **What do you like best about QuestDB?** We have been working with the QuestDb Team for a couple of years now and the level of support the Team provides is outstanding. The features that were critical for us got implemented and the quality has always been at top level. Balance between performance and features is always a challenge and we have not yet experienced loss of performance even though the list of features have grown considerably. **What do you dislike about QuestDB?** Would like to have all features in the open source version. **What problems is QuestDB solving and how is that benefiting you?** Fast access to time series data ### 19. Versatile and performant time-series column store with approachable maintainers **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2023 **What do you like best about QuestDB?** - Easy to explore and get started using the demo and open-source version - Highly performant, with concurrent writes over different flavours of data API. - Column-store storage model, aiding prototyping and flexibility to modify the schema of large datasets. - Provides a relational model and query language which simplifies migration of existing domain models. - CSV import/export, useful for integration with existing database infrastructure. - Good set of key primitives for maintenance and data lifecycle management. - Roadmap brings key improvements around replication, data sharding, and aggregation functions. - Support for some OLTP use cases, with UPDATE and PUT-style de-duplication. - Approachable maintainers with a growing and supportive community. - Supports a variety of third-party integrations, helping to integrate the database as a storage layer within larger systems. - Overall, a fast and flexible database that can support a variety of use cases. **What do you dislike about QuestDB?** - Error handling could improve (particularly for ILP) - Some inconsistency in how well some tools integrate with the database over Postgres database connectors. - Limited support for data sharding/partitioning The issues above are on the roadmap for improvement and would increase the review score. **What problems is QuestDB solving and how is that benefiting you?** Ingress, egress and lifecycle management of bulk time-series data. ### 20. Quest DB is one of the easiest TimeSeries Database ever created **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 20, 2023 **What do you like best about QuestDB?** QuestDB is so easy that a one person can handle a database with millions of rows. Nice Dashboard Very very fast (50million rows in less than 100ms) Easy to manage with docker and kamal. Easy to learn Easy to install and implement My Daily usage routing is to check QuestDB The support team from Slack is fantastic **What do you dislike about QuestDB?** Window function Percentiles and Distributions Compression and database size could be better, but I guess that's coming soon. Backups could be stored directly in S3 or any compatible alternative. **What problems is QuestDB solving and how is that benefiting you?** Perfect Database for Real User Performance Monitoring ### 21. Compelling offering in a competitive landscape with impressive support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 18, 2023 **What do you like best about QuestDB?** - stellar query performance - comprehensive documentation - easy to setup and use - best in class support - compares favourably to KDB, once they have missing features, I can see it being actively replacing KDB **What do you dislike about QuestDB?** - I have struggled with write performance. its not easy to see why. - its a very competitive landscape and I have used several databases, such as KDB. lack of features such as, lack of support for "DELETE WHERE" can put users away **What problems is QuestDB solving and how is that benefiting you?** storing and querying large amounts of data with ease ### 22. The best database solution to store time series data in IIOT **Rating:** 5.0/5.0 stars **Reviewed by:** Ernst Holger A. | Senior Data Scientist MSAT, Mid-Market (51-1000 emp.) **Reviewed Date:** January 23, 2023 **What do you like best about QuestDB?** QuestDB is mind-boggling fast both on ingress and egress, enabling new high-frequency use cases in IIOT. Today industrial time series data are highly compressed to achieve fast access for reporting, dashboarding and analytics. It leaves out a lot of use cases that operate on shorter time scales. We tested several databases, and QuestDB ranked at the top. I also like the active user community and discussing topics with peers on the slack channel! **What do you dislike about QuestDB?** QuestDB is missing some features, such as horizontal scaling and the option to delete data. These features are on the roadmapand once completed, it will be challenging to find a more competitive TSDB. **What problems is QuestDB solving and how is that benefiting you?** QuestDB is an excellent fit for IIOT use cases on different time scales. Many companies are now moving into the cloud and looking for high-performance time series databases. ### 23. It's a simple and a fast DB with a phenomenal team behind it. **Rating:** 5.0/5.0 stars **Reviewed by:** Stelian N. | Regional Research Director, Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2023 **What do you like best about QuestDB?** It's super fast yet super simple. This combination is a rare find and hard to pull off so elegantly. They seem to have done the base product well; building on this should be exciting! Also, their free online support makes a big difference to any open-source user. **What do you dislike about QuestDB?** It's still an early product, so many features are naturally missing. It's not a big deal for some, but it's a deal-breaker for larger-scale production use-cases. That's changing thought. **What problems is QuestDB solving and how is that benefiting you?** Save any data (so far). Streaming and non-streaming. Easily resample data into smaller and more digestible chunks. Fast and reliably read that data. ### 24. Feature rich, promising, and powerful Time-series Database **Rating:** 5.0/5.0 stars **Reviewed by:** Kovid R. | Head of Solutions Architecture, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 30, 2020 **What do you like best about QuestDB?** A highly performant time-series database was the need of the hour. QuestDB is great at processing time-series data in sub 100 ms time. With its support for the InfluxDB line protocol, streaming and batch ingestion of data is a cakewalk. This helps the most when the data is coming from lightweight devices. I like the SQL support that QuestDB has, especially with the extensions. It is worth mentioning that installing and running QuestDB on commodity hardware is really easy for those who want to explore it. The browser-based UI makes the whole process completely hassle-free. **What do you dislike about QuestDB?** I haven't used the database in production yet. After having explored the SQL capabilities, support for InfluxDB line protocol, and a couple of other features, I haven't come across anything that I really dislike till now. The one thing that can be improved is probably the visualization capability in the browser console. **Recommendations to others considering QuestDB:** Just go to the website and run it on your own system. Experimenting with QuestDB is really easy. The setup only takes a couple of minutes. **What problems is QuestDB solving and how is that benefiting you?** As I said earlier, I haven't used it in production but I will do that the first chance I get. We need to stop unnecessarily loading transactional databases with time-series workloads. QuestDB provides a great alternative to time-series data processing with some very cool features, which is why I like exploring it. ### 25. QuestDB for IoT **Rating:** 5.0/5.0 stars **Reviewed by:** 🤷‍♂️ David G. S. | Principal Developer Advocate, Small-Business (50 or fewer emp.) **Reviewed Date:** December 07, 2020 **What do you like best about QuestDB?** QuestDB is super fast, and allows me to store and query enormous volumes of data very quickly. I have sensors writing data to QuestDB more than once per second, and it is a significant volume of data. I've not had any data dropped, and I can query hundreds of thousands of rows of data in well under a second with complex SQL queries. The easy integration with Telegraf for data ingestion has made data collection on the underlying platform that I run QuestDB on. I especially like that QuestDB can ingest InfluxDB Line Protocol unchanged. This has made a transition from InfluxDB to QuestDB fairly seamless. Having a single, small binary to install is very convenient. Now that I can display the results of my data queries in Grafana I'm able to build highly functional dashboards for displaying and reacting to IoT sensor data in real-time. **What do you dislike about QuestDB?** I wish there was support for ARM64 architecture. I've had a couple of instances of runaway log files, but Vlad and the team is amazingly responsive in fixing things. Overall, I'm extremely impressed with, and happy with, QuestDB for my IoT deployments. I do wish there were an alerting framework built-in, as I've had to create an external framework for generating service and data alerts, but I expect as the product matures these things will arrive. **What problems is QuestDB solving and how is that benefiting you?** I'm able to store HUGE amounts of IoT data at wire-speed. I'm able to query that data at sub-second speeds. I currently have over 100million records. For IoT, given the enormous amounts of data involved, QuestDB is a natural fit. I've been doing IoT deployments for almost 20 years, and this is the best data platform I've found -- especially now that they have an integration with Grafana for dashboarding. ### 26. I'm amazed how fast it runs **Rating:** 5.0/5.0 stars **Reviewed by:** Alexis R. | Partner, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2021 **What do you like best about QuestDB?** I used various time-series databases for an IoT sensor project, but I always ran into performance issues, and they were cumbersome to use. That's until I tried QuestDB; I actually couldn't believe it ran so fast that I thought I made a mistake in my SQL code. The team is super responsive and friendly as well. **What do you dislike about QuestDB?** I'm just waiting for more sharding features **What problems is QuestDB solving and how is that benefiting you?** I'm considering using QuestDB to aggregate data sources that generate a ton of time-series data ### 27. Fast open-source timeseries database **Rating:** 4.0/5.0 stars **Reviewed by:** Yitaek H. | Director of Research and Development, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** February 08, 2021 **What do you like best about QuestDB?** QuestDB is a performant timeseries database able to ingest large amounts of data and query in ms. The console UI is also intuitive as easy to use. A lot of the Postgres features are already supported so no need to learn a new query language. I have not tried out other ingestion methods (e.g. influx line protocol), but it's definitely nice to have **What do you dislike about QuestDB?** Kubernetes deployment options are currently limited. There is a Helm chart available, but I would like to see other features like replication or running in multiple regions. **What problems is QuestDB solving and how is that benefiting you?** I've only tried running it on my personal projects to ingest IoT data. ### 28. Easy to use on every scale **Rating:** 5.0/5.0 stars **Reviewed by:** Gábor B. | Senior Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 10, 2021 **What do you like best about QuestDB?** I really like the simplicity and ease of use without compromises for performance. It was a very clever idea to implement the Postgres connection protocol and SQL interface; thanks to that, it is possible to use the database with any language which has built-in or third-party support for that. Also, the interactive web console shipped with the database helps a lot to discover features of the database, generate charts, and gain more experience. **What do you dislike about QuestDB?** The documentation is well written, extensive, and helpful, though it could be organized a bit better. **What problems is QuestDB solving and how is that benefiting you?** I haven't used it in production yet, but I'm sure I'll pursue the opportunity to do it. ### 29. Looks great for your project, waiting more enterprise features **Rating:** 5.0/5.0 stars **Reviewed by:** Peter Z. | Sole trader, Small-Business (50 or fewer emp.) **Reviewed Date:** January 29, 2021 **What do you like best about QuestDB?** I’ve liked SQL query language, easier to start with. Also easy to upload large CSV files and query it quickly. **What do you dislike about QuestDB?** Hard to tell from my personal perspective, but I’d expect Quest is working on replication and building visualisation capabilities that are critical at larger deployments **Recommendations to others considering QuestDB:** Give it a go, and if something does not work perfectly/missing chat with the team **What problems is QuestDB solving and how is that benefiting you?** A project to explore value of financial transactional data ### 30. The best open source time series database **Rating:** 5.0/5.0 stars **Reviewed by:** Jerome R. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 04, 2020 **What do you like best about QuestDB?** The open source nature, the availability of the team, the speed at which they release new features. Finally, the ease of use and performance of the software itself. **What do you dislike about QuestDB?** No replication yet, and sometimes the query language lacks some mathematical functions. But this is improving. **What problems is QuestDB solving and how is that benefiting you?** Analysis of large amounts of financial transactions spanning multiple years to generate new insights. ### 31. Unparalleled performance **Rating:** 5.0/5.0 stars **Reviewed by:** Armenak M. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 27, 2020 **What do you like best about QuestDB?** QuestDB has genuinely put a considerable effort towards performance that is not found in any of the other time series databases I have tried. They have a great product and a very responsive team. **What do you dislike about QuestDB?** I wouldn't say dislike, but I'm eagerly waiting for the distributed version. **What problems is QuestDB solving and how is that benefiting you?** We use time series as a core component of what we do, which is analyse financial markets and produce insights, QuestDB has given us the opportunity to do more for less, in less time. ### 32. QuestDB is the database of the future **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2021 **What do you like best about QuestDB?** I was stunned with the performance and simplicity of QuestDB. I am a developer, I looked at the code base and it looks very clean. Moreover they said they took great care to ensure high stability, which is a great choice in my opinion. I was struck by the fact that time-series can be applied to any domain. **What do you dislike about QuestDB?** 1) The insane amount of logging. 2) The website domain, questdb.io, should end with .com, otherwise branding will suffer. **What problems is QuestDB solving and how is that benefiting you?** I have not yet used QuestDB. ### 33. An Excellent, Simple, and Reliable Time Series Database **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** January 12, 2021 **What do you like best about QuestDB?** QuestDB is a simple but very powerful time-series database that is lightweight and can be used at any scale. SQL like query language make things simple and its performance is absolutely insane! It is open source and apart from the database it has incredible modules to use for your projects. And whenever there is an issue or you want a new feature their team is very responsive. **What do you dislike about QuestDB?** That is only append db and doesnt support delete and update of rows **What problems is QuestDB solving and how is that benefiting you?** High performance code and extremely fast queries ### 34. Drag, drop and query **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 27, 2020 **What do you like best about QuestDB?** SQL language. Easy to start exploring data in minutes. Drag and drop your biggest CSV file and query it almost instantly. Fast. Millions fo data point is absolutely not time. Billons work on the speed of millions in other DBs or even faster. **What do you dislike about QuestDB?** Some SQL syntax is rough around edges, like functions case sensitivity but they are working on it **Recommendations to others considering QuestDB:** It's easy to start using it if you have basic SQL background **What problems is QuestDB solving and how is that benefiting you?** Helps querying and aggregation of TImeseries data to prove or fail a theory quickly Helps to manulpulte large data sets ad hoc, like transforming large data files better / faster than Excel with SQL language ### 35. Performance out of the box **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Investment Banking | Enterprise (> 1000 emp.) **Reviewed Date:** November 27, 2020 **What do you like best about QuestDB?** Being a time series database at heart it is very optimized for that use case. QuestDB is blazingly fast querying, aggregation, filtering etc. Also, not having a heavy client integration with the language of choice is very easy. **What do you dislike about QuestDB?** There is currently no replication. (My understanding is, though, that it is being worked on.) **What problems is QuestDB solving and how is that benefiting you?** Analysis of large amounts of financial (trading/market) data. ## QuestDB Discussions - [What is QuestDB used for?](https://www.g2.com/discussions/what-is-questdb-used-for) - [Is there a clear roadmap for the next year or two?](https://www.g2.com/discussions/35367-is-there-a-clear-roadmap-for-the-next-year-or-two) - 1 upvote - [View QuestDB pricing details and edition comparison](https://www.g2.com/products/questdb/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-19+02%3A47%3A08+-0500&secure%5Bsession_id%5D=fe644e37-2dcd-4468-b44f-73f41a00cf2f&secure%5Btoken%5D=0aaa9075aab790b4c3375057b913f65451e88706ead1cb2f4273567887deffd1&format=llm_user) ## Top QuestDB Alternatives - [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews) - 4.4/5.0 (98 reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - 4.5/5.0 (61 reviews) - [Druid](https://www.g2.com/products/druid/reviews) - 4.3/5.0 (28 reviews)