---
title: QuestDB Reviews
meta_title: 'QuestDB Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 35 reviews by the users' company size, role or industry to
  find out how QuestDB works for a business like yours.
aggregate_rating:
  rating_value: 4.8
  review_count: 35
  scale: '5'
date_modified: '2026-06-15'
parent_category:
  name: Database Software
  url: https://www.g2.com/categories/database-software
---

# 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. 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.

  ### 2. 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.

  ### 3. 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.


## 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?filters%5Bnps_score%5D%5B%5D=4&open_modal_url=%2Fit%2Fproducts%2Fquestdb%2Fwishlists%3Fhost_path%3D%252Fproducts%252Fquestdb%252Freviews%253Ffilters%25255Bnps_score%25255D%25255B%25255D%253D4%26source%3Dpdp_avatar&section=pricing&secure%5Bexpires_at%5D=2026-06-19+16%3A57%3A49+-0500&secure%5Bsession_id%5D=2fff68ab-5964-445c-8480-f41a900ca8ff&secure%5Btoken%5D=1dab210170fa9e8368bd395730831dc529df9da17b77c8da35192d06ff0db134&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)
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