Listing Thumbnail

    quasarDB Community Edition

     Info
    Sold by: quasardb 
    AWS Free Tier
    High performance time series database
    Listing Thumbnail

    quasarDB Community Edition

     Info
    Sold by: quasardb 

    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

    Sold by

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux Amazon Linux 2 AMI (HVM) - Kernel 5.10, SSD Volume Type

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m6a.xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.173/hour

    Pricing

    quasarDB Community Edition

     Info
    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.

    Usage costs (82)

     Info
    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

    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.

    Usage information

     Info

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    |
    3 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Joel F.

    A clear breakthrough in timeseries database

    Reviewed on Apr 01, 2019
    Review provided by G2
    What do you like best about the product?
    QuasarDB is a clear innovation. QuasarDB enables you to store massive amount of data without sacrificing on query speed.
    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.
    What do you dislike about the product?
    No major roadblocks even if in some places the query error messages are sometimes unclear
    What problems is the product solving and how is that benefiting you?
    - HPC research on large datasets
    - Storage of HPC datasets
    Financial Services

    a great analytics platform when high performance needed.

    Reviewed on Mar 18, 2019
    Review provided by G2
    What do you like best about the product?
    The software development team, really go deep on optimization and software quality, exploiting the best of Intel CPU. Very very few software platform are going that way, which explain the performance of the platform.
    What do you dislike about the product?
    no major roadblock, user interface cam always be improved.
    What problems is the product solving and how is that benefiting you?
    Nice platform for Financial market place process/data. Anything requesting near real time analytics.
    Recommendations to others considering the product:
    nice player, when needing near real time analytics.
    Information Technology and Services

    High performance timeseries database that is great with numbers

    Reviewed on Mar 16, 2019
    Review provided by G2
    What do you like best about the product?
    The performance of numerical calculations is superb -- when offloading calculations / aggregates to the database, it is able to achieve stellar performance.
    What do you dislike about the product?
    It takes some time to learn how to use it. The UI is very unforgiving sometimes, although it does seem to get better with every release.
    What problems is the product solving and how is that benefiting you?
    We moved from InfluxDB, and especially exploring our dataset has been much easier: the speed of the engine make it easy to interactively test and iterate on your queries.
    Recommendations to others considering the product:
    Make sure your data is mostly numerical, this is where you will be seeing the most benefits of using QuasarDB.
    View all reviews