Overview
QuasarDB is a high performance, distributed, transactional, time series database. It can ingest data at very high speed, while giving you immediate access through a powerful, SQL-like, query language. QuasarDB was designed to withstand the most extreme use case that can be found in financial markets, aeronautics, and heavy industry.
Highlights
- Speed, power, convenience, safety
Details
Typical total price
$0.173/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t3.nano | $0.00 | $0.005 | $0.005 |
t3.micro AWS Free Tier | $0.00 | $0.01 | $0.01 |
t3.small | $0.00 | $0.021 | $0.021 |
t3.medium | $0.00 | $0.042 | $0.042 |
t3.large | $0.00 | $0.083 | $0.083 |
t3.xlarge | $0.00 | $0.166 | $0.166 |
t3.2xlarge | $0.00 | $0.333 | $0.333 |
m5.large | $0.00 | $0.096 | $0.096 |
m5.xlarge | $0.00 | $0.192 | $0.192 |
m5.2xlarge | $0.00 | $0.384 | $0.384 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
None
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Protocol version 48 [arm64] Optimized several functions to leverage ARM Neon SIMD [compression] Slight improvement in (de)compression speed [daemon] Upsert now properly replaces all duplicates [kernel] Add support for TTL in tables [kernel] General availability of AGGREGATED tables (streaming analytics) [kernel] Overall improvement of insertion performance across the board [linux] Fixed stack trace symbol dump [orderbook] Can now generate order books on a list of timestamps and offsets [orderbook] Significant performance improvement of the Currenex order book engine [orderbook] The account ID column is now properly displayed [query] Add round, ceil, and floor functions [query] Add support for complex ASOF joins across multiple tables [query] Add support for count($timestamp) [query] Add support for interpolation in GROUP BY queries [query] Add support for JSON operators [query] Add support for LEAD() and LAG() for sliding window queries [query] Add support for WHERE IN [query] ASOF now has a consistent behavior when there are NULL values [query] Can now drop a column that has a name made of a single character [query] Columns with different symbol tables can now be compared [query] Fix invalid first() and last() result for certain complex queries [query] Significant improvement for GROUP BY spanning thousands of tables [query] Support composition for correlation [query] Support for HAVING with PIVOT
Additional details
Usage instructions
-
QuasarDB runs as a systemd service, you can inspect its status as follows:
systemctl status qdbd.service
-
An exported of QuasarDB metrics to Amazon Cloudwatch has been preinstalled and configured as a systemd service. You can inspect its status as follows:
systemctl status qdb-cloudwatch.timer systemctl status qdb-cloudwatch.service
In order for the exporter to work, it requires the relevant IAM permissions assigned to this EC2's instance role.
-
To connect to your QuasarDB instance, you can use qdbsh:
qdbsh qdb://127.0.0.1:2836
-
For security purposes, QuasarDB only listens to localhost by default.
-
You can configure and customize your QuasarDB installation by editing the configuration file at /etc/qdb/qdbd.conf.
For more information about QuasarDB, please consult the documentation available online at https://doc.quasardb.net/
Resources
Vendor resources
Support
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
A clear breakthrough in timeseries database
The level of performances that one can leverage is clearly at least one order of magnitude over a lot of competitors. From
the large selection of platforms and languages to high-performance compression features, it really simplifies
the management of large scale databases.
A must-have if performances on your whole stack is a required.
- Storage of HPC datasets