News

  • QuasarDB at Fall STAC Summits - 2019

    October 01, 2019

    STAC Summits bring together industry leaders from top financial and technology firms to discuss ways to meet important engineering challenges in finance using innovative technologies.

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  • QuasarDB Partners With Packets2Disk

    August 31, 2019

    We are glad to announce our recent collaboration with Packets2Disk. Financial institutions around the world use Packets2Disk Analytics to improve the efficiency and performance of their businesses, by gaining in-depth access to and intuitive visibility of the trading and market data that fuels their operations.

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  • QuasarDB 3.4.0 is available now!

    August 31, 2019

    This release significantly expands the tooling around QuasarDB: cluster to cluster replication, ODBC drivers, and built-in audit trail.

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  • QuasarDB Laureate of EIC Accelerator (SME Instrument)

    July 31, 2019

    QuasarDB is delighted to announce its success with EIC Accelerator program within the scope of Horizon 2020, the biggest EU Research and Innovation program ever.

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  • LiquidityEdge collaborates with QuasarDB to create data analytics service

    May 29, 2019

    Electronic US Treasuries (UST) trading venue LiquidityEdge has announced its plan to launch a data analytics service, leveraging a managed solution from QuasarDB.

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  • QuasarDB at Spring STAC Summits - 2019

    May 27, 2019

    STAC Summits bring together industry leaders from top financial and technology firms to discuss ways to meet important engineering challenges in finance using innovative technologies.

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  • Smart Energies 2019, save the date!

    May 27, 2019

    The amount of data processed has increased by an order of magnitude over the last ten years and computing performance, such as storage capacity, is constantly increasing.

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  • Join QuasarDB at ITS European Congress in June!

    May 27, 2019

    Together with Orolia, QuasarDB will participate to the 13th edition of ITS European Congress, the largest event entirely dedicated to smart mobility and digitalisation of transport, which will take place in Eindhoven (Netherlands).

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  • QuasarDB "Panaetius" 3.3.0 available

    May 14, 2019

    This release is a big focus on making monitoring and administrating QuasarDB. We improved the way statistics are updated and added many new metrics.

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  • QuasarDB "Hierocles" 3.2.0 available

    April 09, 2019

    This release brings a big push toward security with complete and precise access control management.

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  • QuasarDB selected by Business France and Bpifrance for the Umobility Program

    April 03, 2019

    Business France and Bpifrance are launching the fifth edition of «Ubimobility », the immersion program in the United States for French Companies specializing in the autonomous and connected vehicle industry.

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  • ABB uses QuasarDB as its predictive maintenance backend

    March 11, 2019

    Together, TellMePlus (publisher of analytical platform Predictive Objects) and QuasarDB allow real-time comparison of data from multiple sources (sensors) with historical data, to anticipate previously unpredictable incidents.

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  • QuasarDB 3.1.0 released!

    January 14, 2019

    Happy new year 2019! We are very pleased to announce the immediate availability of QuasarDB 3.1.0.

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  • QuasarDB 3.0.0 released!

    November 30, 2018

    We are very pleased to announce the immediate availability of QuasarDB 3.0.0. This is a major release that brings significant improvements across the board.

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  • The QuasarDB Story

    November 08, 2018

    Your data infrastructure should be as bold as your strategies: store everything forever and query at will. See for yourself and try out our free community edition now!

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  • QuasarDB Delivers Major Speed Advantage With Version 3.0 of Its Time Series Database

    November 08, 2018

    With speeds already orders of magnitude faster than older technologies, QuasarDB leaps even further ahead.

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  • Open Mic @ Data Driven NYC

    October 17, 2018

    Edouard Alligand, Founder & CEO of QuasarDB, spoke at Data Driven NYC in October 2018 as part of FirstMark's inaugural Open Mic series. He spoke about QuasarDB, his time-series database company and how you can run your code directly in the database.

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  • QuasarDB Measured Up To 600 Times Faster Than InfluxDB

    September 28, 2018

    When reading specifications and claims from Time Series Database vendors, one might think that they all look pretty much the same.

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  • QuasarDB Partners With Indurad

    September 28, 2018

    INDURAD is a leading German company for digitization, automation, localization and collision avoidance by unique radar and transponder technology in the mining and material handling industries.

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  • New Enhancements To The User Experience

    August 31, 2018

    We are delighted to announce that Camilo Polymeris has joined the QuasarDB team to spearhead the UX experience of our product. Camilo is currently based in Santiago, Chile.

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  • QuasarDB Expands Its NY Presence As It Leverages USAM Group for Sales And Marketing

    August 31, 2018

    As part of our commitment to best serve our customers, QuasarDB has established a presence in New York City which is being led by our CEO, Edouard Alligand.

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  • QuasarDB Solution Architect Team Expands

    August 31, 2018

    QuasarDB is growing quickly as evidenced by the fact that we are further expanding our Solution Architect Team. This team works closely with innovative companies interested in leveraging QuasarDB's technology.

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  • New High Performance Python API

    July 28, 2018

    We’re very happy to say we’ve done a complete rework of our Python API.

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  • QuasarDB part of winning team of IDIOM project rewarded by BPI and Ile de France Region

    July 28, 2018

    This consortium successfully answered a call for a R&D project launched by France and its regions with the Project IDIOM that has been selected and has thus been granted necessary funding.

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  • QuasarDB 2.7.0 released!

    July 02, 2018

    This release features enhanced compression and better docker support. We also greatly improved the flexibility of range specification, enabling you to express complex ranges such as "give me all the Fridays between 10:00 am and 10:15 am" very easily.

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  • Why QuasarDB in Finance?

    June 29, 2018

    The more flexible and convenient the access to market data is, the better the analysts can work. Hedge funds and investment banks typically store very large amounts of trades and market data (sometimes several petabytes), which makes gaining access very difficult, if not impossible.

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  • QuasarDB 2.6.0 released!

    June 01, 2018

    This release features an official R API as well as Grafana support. Many improvements to the query language have been done as well with built-in Gregorian calendar support and more WHERE clauses operators.

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  • QuasarDB 2.5.0 released!

    April 20, 2018

    In 2.5.0 we pushed the limits of compression even further, without any impact on speed! We also increased the flexibility and power of WHERE clauses. We’re also very happy to say that we now have an ARM64 build available upon request.

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  • QuasarDB 2.4.0 released!

    March 12, 2018

    This new version brings powerful improvements to the query language, as well as significant boost to the compression ratio and aggregation speed.

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  • QuasarDB raises $2.5 million to advance its disruptive database solution

    February 22, 2018

    QuasarDB, a developer of technologies to handle massive amounts of data in real time, primarily for financial markets, announced today the closing of $2.5 million in seed round funding.

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  • QuasarDB 2.3.0 released!

    February 16, 2018

    This new version fully exposes the query language through the API and offers the possibility to combine tag lookups and time series aggregations.

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  • QuasarDB becomes a Levyx OEM customer

    January 22, 2018

    Levyx Inc., whose high-performance, ultra-low latency data processing software dramatically reduces Big Data infrastructure complexity and costs, announced that the company has signed QuasarDB, a provider of a time series database for real-time data analysis, as an OEM customer.

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