Sold by: QuestDB
Deployed on AWS
QuestDB is the low-latency time-series database on open formats. It ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable through one SQL engine. QuestDB Enterprise is the production-grade edition for regulated, mission-critical workloads, adding high availability, enterprise security, an integrated lakehouse on Amazon S3, and support from the engineers who build QuestDB. Runs on Amazon EC2 in your own AWS account. Available through AWS Marketplace private offers.
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Overview
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QuestDB Enterprise is sold exclusively through private offers
The listed public price is a placeholder and does not reflect actual pricing.
Pricing is provided through AWS Marketplace private offers.
The live stream and the complete record, unified
QuestDB is the low-latency time-series database on open formats. It ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable through one SQL engine spanning ingestion, stream processing and tiered storage. QuestDB Enterprise is the production-grade edition, hardened for regulated, mission-critical workloads, with high availability, enterprise security, a built-in lakehouse and support from the engineers who build it.
Who it is for
Built for the most demanding time-series workloads in capital markets, aerospace and energy. Capital markets teams use QuestDB to capture market data and trades, act on them in real time, and query the same complete history for pre-trade signals, research, TCA, risk, P&L, surveillance and compliance. Further use cases include multi-exchange crypto market data, aerospace and robotics telemetry, energy infrastructure, and fraud analytics in retail banking and payments.
What QuestDB Enterprise adds
- High availability: automatic replication and failover, multi-AZ, sub-second read replicas across regions via Amazon S3
- Enterprise security: TLS encryption on all protocols, RBAC including column level, SSO via OAuth 2.0/OIDC identity providers, audit logs, unlimited native users, groups and service accounts
- Integrated lakehouse: hot tier plus Parquet and Iceberg tables on Amazon S3, queried in SQL with any Iceberg-compatible client; data tiers automatically without manual intervention
- Lifecycle policies: automatic downsampling with materialized views, data deleted or archived to tiered storage via TTL, on-demand recall of historical data
- Backups and disaster recovery: fully automated incremental snapshots into Amazon S3, restore from a full backup or automated point-in-time recovery (PITR)
- Deployment: runs on Amazon EC2 in your own AWS account; your data stays in your environment
- Support and SLAs: direct access to QuestDB engineers, guaranteed response-time SLAs, guidance beyond break-fix, customer-priority hotfixes and security patches, architecture and performance reviews, early access to new features
Performance and openness
- 19M rows per second per server ingestion in published QWP benchmark results on QuestDB v10.0
- One engine for the full data lifecycle: capture, compute, query and retain, with real-time and historical data in one engine
- Older data is automatically tiered to Amazon S3 in Apache Parquet and queried in place, for predictable costs, interoperability with AI/ML tooling and zero lock-in
- Open at every layer: Apache 2.0 licensed core, standard SQL, PGWire, Apache Parquet and Apache Iceberg; native integrations with Kafka, Redpanda, Telegraf, Apache Flink, Grafana, Pandas, Polars, Apache Spark and Superset
- Time-series SQL primitives: SAMPLE BY, ASOF JOIN, HORIZON JOIN, materialized views and arrays for order-book analytics; easy for engineers to write, native for AI agents
Proven in production
Running in banks, exchanges, rockets and power plants. QuestDB is SOC 2 Type 2 compliant.
Highlights
- High availability and recovery: automatic replication and failover, multi-AZ, cross-region read replicas via object storage, automated incremental backups and point-in-time recovery.
- Enterprise security: TLS on all protocols, RBAC down to column level, SSO via OAuth 2.0/OIDC and audit logs. QuestDB is SOC 2 Type 2 compliant.
- Open lakehouse, no lock-in: older data tiers automatically to Parquet and Iceberg on Amazon S3 and is queried in place with SQL. Apache 2.0 core, PGWire, standard SQL.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
r6a.2xlarge Recommended | $2.283 |
Dimensions summary
You pay by the hour for QuestDB Enterprise running on a single r6a.2xlarge instance type. Billing is usage-based, so charges accrue for each hour the instance runs. There is one pricing dimension, tied to this fixed instance size, and no separate tiers or add-ons. Your cost scales with how long you keep the deployment active. QuestDB Enterprise is a time-series database that adds high availability, security controls, automated backups, and multi-tier storage on top of the open source core.
Top-of-mind questions for buyers
The r6a.2xlarge is a memory-optimized AWS instance type. It runs QuestDB Enterprise on a single machine sized for memory-intensive time-series workloads. Your hourly software charge is tied to this one fixed instance size, so the compute footprint stays the same each hour it runs.
The software charge meters running time only. When the instance is fully stopped, no hourly software charge accrues. Note that stopped instances may still incur underlying AWS storage fees for attached volumes, but the QuestDB Enterprise license bills active hours only.
QuestDB Enterprise builds on the open source core. It adds high availability, role-based access control, advanced security, automated backups, and multi-tier storage with object storage integration. Everything in the open source version works here too. All these capabilities come with the single hourly instance charge.
questdb.com
Helpful?
Vendor refund policy
Please contact us at sales@questdb.com for more information.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
New Features
- Per-column bloom filter configuration -- Bloom filters can now be configured on individual columns via CREATE TABLE and ALTER TABLE, giving fine-grained control over which columns benefit from bloom filter acceleration during reads. (#966)
Bug Fixes
- Fixed rare backup failure caused by empty partitions -- Resolved an issue where the backup command could fail when encountering tables with empty partitions. (#963)
- Fixed rare replica crash during shutdown -- Resolved a crash that could occur on replica nodes during graceful shutdown. (#962)
Additional details
Usage instructions
Connect to the database over HTTP on port 9000. Configuration changes can be made via the configuration file located at /questdb/conf/server.conf (see https://questdb.io/docs/configuration/ for available options).
Instructions to gain OS access: SSH on port 22 using username "ubuntu"
Resources
Vendor resources
Support
Vendor support
QuestDB Enterprise customers receive support directly from the engineers who build QuestDB, covering installation, configuration, upgrades, performance tuning and ongoing operations. Support scope and response-time SLAs are defined by the support tier in your agreement.
Existing customers: support@questdb.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Oil & Energy
QuestDB is a strong choice for time series in 2025
Reviewed on Mar 18, 2025
Review provided by G2
What do you like best about the product?
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 the product?
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 the product solving and how is that benefiting you?
Realtime analytics and trends analysis, fast data ingestion, strong stability.
Stefan E.
Competent time-series database with great community
Reviewed on Aug 21, 2024
Review provided by G2
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.
Computer Software
The only choice to use in embedded mode
Reviewed on Aug 19, 2024
Review provided by G2
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.
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.
Consulting
Set it & forget it
Reviewed on Aug 19, 2024
Review provided by G2
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.
Mining & Metals
Very easy to onboard
Reviewed on Aug 14, 2024
Review provided by G2
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.