Quasar "Seneca" 3.13.2 Beta Released

This is the beta 3.13 branch, not to be confused with the stable 3.10 branch.

We are very happy to announce the immediate availability of QuasarDB 3.13.2, a beta version update from 3.13.1.

This release brings important performance improvements across the board, and bring major new features such as a brand new low-latency, high-performance, cryptocurrencies exchange feed handler, support for EMA and MACD, and support for Apache Arrow as input and output.

Last but not least, real-time order book reconstruction is now out of private beta and available in this release, directly from the query language.

Get QuasarDB 3.13.2 here!

QuasarDB is also available on the AWS marketplace.

32-bit and 64-bit ARM binaries for Linux are now included with every release.

Change log

  • Protocol version 46
  • [api] Query results can optionally return Apache Arrow structures
  • [api] Remove deprecated bulk inserter
  • [api] Simplify symbol API
  • [api] The batch inserter can optionally accept Apache Arrow structures for input
  • [client] Greatly improve multithreading performance
  • [crypto] Low latency crypto feed handler with native Coinbase support
  • [kernel] Greatly improve cache heuristics for lower I/O usage
  • [query] Add support for "infinite" shard size
  • [query] Add support for escaped characters in quoted strings
  • [query] Add support for Exponential Moving Average (EMA)
  • [query] Add support for Moving Average Convergence Difference (MACD)
  • [query] Add support for ORDERBOOK for real-time order book reconstruction
  • [query] Fix a bug where GROUP BY + WHERE could incorrectly split a range
  • [query] Fix an edge case with last aggregations on certain GROUP BY queries
  • [query] Greatly improve the performance of DELETE WHERE DUPLICATE
  • [query] Greatly increased WHERE performance across the board
  • [security] Add support for transitive permissions on tags
  • [shell] Add a command to reload the user configuration manually

Quasar "Seneca" 3.13.1 Beta Released

This is the beta 3.13 branch, not to be confused with the stable 3.10 branch.

We are very happy to announce the immediate availability of QuasarDB 3.13.1, a beta version update from 3.13.0.

This version includes two important bug fixes. If you are using the new symbol column type or the Java API you are strongly encouraged to upgrade to 3.13.1.

Get QuasarDB 3.13.1 here!

QuasarDB is also available on the AWS marketplace.

32-bit and 64-bit ARM binaries for Linux are now included with every release.

Change log

  • Protocol version 46
  • [api] Fix a client-side data corruption when pushing multiple symbol columns at the same time
  • [api] Fix an issue with symbol and batch API parameters
  • [daemon] Fix a performance issue with ALTER TABLE ADD
  • [daemon] Properly take hierarchical cgroup memory limits into account
  • [java] Fix several stability issues
  • [query] Add support for ALTER TABLE DROP column
  • [query] Add support for ASOF INTERPOLATE and LOOKBACK
  • [query] Add support for direction for ASOF LOOKBACK
  • [query] Full support for moving averages

Quasar and HALIAS partner to unlock a new level of efficiency for the mining industry

New York, December 21st, 2021: By leveraging the Quasar platform, HALIAS Technologies can deliver turn-key solutions for its heavy-industry customers. This cooperation enabled HALIAS to deliver fully integrated solutions to, in particular, the mining industry.

Asset health and product quality have always been a critical concern for the mining industry, which needs to optimize its production and constantly minimize asset wear and tear. With intelligent monitoring, it is possible to give powerful insights that deliver a new level of efficiency.

By leveraging Quasar, HALIAS can deliver unlimited data management capabilities from the Edge to the Cloud that grow with the customers' needs. HALIAS turn-key solutions propel customers to the next generation of asset health.

Quasar is a software platform that can capture, store, and extract features from event-driven data. Its capabilities in terms of performance and compression are outmatched.

"Storing and centralizing data is a challenge that QuasarDB solves very well. Thanks to the integration, our customers will benefit from its outstanding technology instead of combining heterogeneous database solutions", says Laurent Testard from HALIAS Technologies. "In addition, QuasarDB gave us all the support needed, making the pilot project very successful. QuasarDB replaces three distinct components we were using, greatly simplifying our architecture and thus lowering maintenance costs".

"Quasar is the universal adapter between raw sensor data and artificial intelligence. Quasar solves all the data engineering challenges related to capturing large volumes of event data. Thanks to our unique compression technology, storage is extremely cost-effective. Last but not least, Quasar enables users to extract features from raw data in real-time, removing the need for custom scripts or third-party tools. The combination  delivers a new level of performance and greatly simplifies software architectures, resulting in tremendous value for the customers." says Edouard Alligand, Founder and CEO of Quasar.

"We are thrilled to partner with HALIAS Technologies. OEM licensing is a key component of our strategy. We understand our partners help us bring the QuasarDB technologies to more users."

In 2021 Quasar adoption grew significantly. Major US-based manufacturing companies have been using Quasar to successfully generate millions of dollars of value. With the OEM licensing, the Quasar technology increases its reach to benefit businesses of all sizes.

About HALIAS Technologies

HALIAS Technologies was created in 2006 with the mission of providing digital services to its industrial customers, regardless of their domain: energy, petrochemicals, thermal, mining, electronics, and the manufacturing industry. The vision of HALIAS Technologies is to have clean, robust, and tested software solutions on which to develop solutions adapted to its customers and integrate existing components beforehand. Today, more than 75 systems made by HALIAS Technologies are present on four continents. HALIAS Technologies is based in Meylan, France,  at the heart of the Grenoble metropolis and its technological ecosystem.

About QuasarDB

Quasar, founded in 2014, is a software publisher whose mission is to enable AI to create wealth. Quasar is the universal adapter between raw timeseries data and Automated Intelligence (AI). Quasar radically simplifies data engineering by delivering a fully integrated data platform for timeseries data, from ingestion to feature extraction. Quasar captures, normalizes, and stores an unlimited volume of events in the most efficient way possible.

Quasar was recognized as "Cool Vendor in Data Management" by Gartner in 2020.

Quasar's main offices are based in Paris and New York.  Quasar is proud to be trusted by global leaders in telecoms, manufacturing, and capital markets.


Quasar 3.10.1 "Marcus Aurelius" Stable Released

This is the stable 3.10 branch, not to be confused with the 3.13 branch.

We are very happy to announce the immediate availability of QuasarDB 3.10.1, a stable version update from 3.10.0.

This update features improvements to the ASOF JOINS capabilities as well as several bug fixes. We also updated the .NET API with the latest batch writer.

Get QuasarDB 3.10.1 here!

QuasarDB is also available on the AWS marketplace.

32-bit and 64-bit ARM binaries for Linux are now included with every release.

Change log

(w.r.t. 3.10.0)

  • Protocol version 37
  • [daemon] Add support for cgroups v2
  • [daemon] Add support for rate limit
  • [daemon] Add support for user dynamic configuration reloading and update
  • [daemon] Fix rare permission error in transactions
  • [net] Add support for the new batch API
  • [net] Fix several stability issues
  • [query] Accept ip() in INSERT/UPDATE
  • [query] Add support for % operator
  • [query] Add support for ASOF INTERPOLATE and LOOKBACK
  • [query] Add support for DATEPART
  • [query] Add support for TRIM TABLE
  • [query] Fix LOOKUP error on aggregation
  • [query] Fix several ASOF + GROUP BY errors
  • [query] Improve cast syntax flexibility

Quasar "Seneca" 3.13.0 Beta Released

Where is 3.11?

You may have noticed that we skipped the 3.11 (beta) and 3.12 (stable) releases altogether. We took the decision to kill a branch of Quasar and work on a major improvement of the I/O engine. Since there were internal releases named 3.11, to avoid any confusion we decided to number the official new beta release 3.13.

New "Seneca" QuasarDB engine

This new beta branch introduces a new version of the QuasarDB engine.

The new engine, named after the Roman stoic philosopher Seneca the Younger, is the result of one year of intense R&D focused on greatly optimizing I/O for large (beyond 100 TiB) data sets. Rest assured that smaller data sets will also greatly benefit from these improvements!

We have analyzed hundreds of petabytes of data sets coming from our customers to flesh out a new data organization and improve our stochastic indexes to reduce read and write amplification (up to 20 times!).

These changes mean that 3.13 is not backward compatible with 3.10 or 3.9 and a data migration is required to upgrade.

We have not just improved persistence, with this release we are introducing three major new features:

  1. Continuous queries - Queries results can now be pushed from the server to the client. This is more than a convenience: polling the server for updates can be extremely inefficient.
  2. Symbol tables - Native support for "infinite" enumerations. Data is stored as integers, but the user is presented with strings. This greatly improves disk usage and query performance. All the symbol table upkeeping is done transparently and the load is distributed over the cluster.
  3. Sub queries - We are working on greatly extending the capabilities of the query language and have introduced sub queries in this release.

This is the first release of this new engine. Expect more from the Quasar team over the year 2022: we aim at nothing less than the impossible.

Get QuasarDB 3.13.0 here!

32-bit and 64-bit ARM binaries for Linux are now included with every release.

Change log

  • Protocol version 45
  • [daemon] Add support for cgroups v2
  • [daemon] Add support for user configuration remote update
  • [daemon] Upgraded to RocksDB 6.14.6
  • [kernel] Add more statistics for improved monitoring
  • [kernel] Add support for continuous queries (e.g. push notifications)
  • [kernel] Add support for priorities on asynchronous queues (disabled by default)
  • [kernel] Greatly improved ingestion rate for asynchronous writes (up to 10X)
  • [kernel] Native support for "symbols" column type (e.g. "infinite" enums)
  • [net] Add support for the new batch API
  • [odbc] Improve ODBC compatibility
  • [persistence] Improve compression, up to double the efficiency!
  • [persistence] Improve tiered storage support
  • [persistence] New indexes and data layout which can deliver up to 20X speed improvement on cold data
  • [query] Add support for DATEPART
  • [query] Add support for TRIM TABLE
  • [query] Improve DELETE speed
  • [query] Improve disk size computation accuracy
  • [query] Support for subqueries

Quasar showcased on AWS marketplace

We are very proud to announce that Quasar is front and center on the AWS timeseries solutions for financial services page.

What can Quasar do for you?

Quasar can store all your raw tick data (even level 3!), compress it, store that in blob storage for as long as needed, and rebuild the order book on demand, at any point in time, instantly.

Quasar supports natively many exchanges and asset classes, including crypto.

For more information, check out our case studies and don't forget about the free community edition!