Quasar AI Successfully Achieves SOC 2 Compliance
New York, United States – November 19, 2024 – Quasar AI, a leader in real-time data intelligence platforms, proudly announces the successful completion of its System and Organization Controls (SOC) 2 Type II audit, reaffirming its dedication to maintaining top-tier customer data security standards.
The SOC 2 standard, developed by the American Institute of Certified Public Accountants (AICPA), validates controls for security, availability, processing integrity, confidentiality, and privacy. Quasar’s achievement underscores its commitment to safeguarding customer data and delivering a trusted, secure data environment.
The audit was conducted by Johanson Group LLP, a recognized certification body specializing in SOC 2 audits. Johanson Group attested to Quasar’s compliance with leading security standards for time series and real-time data intelligence solutions, reflecting Quasar’s rigorous security protocols and operational excellence.
SOC 2 Type II compliance ensures robust organizational practices to protect customer data. As a key player providing mission-critical data and identity management solutions across industries such as manufacturing, oil and gas, energy, mining, and finance, Quasar remains dedicated to upholding the highest standards of data security and integrity.
About Quasar AI
Quasar AI, founded in 2014, is a software publisher whose mission is to transform data into powerful insights that propel businesses forward. Quasar captures, normalizes, and stores an unlimited volume of data in the most efficient way possible. Our real-time data intelligence Platform enables businesses to find opportunities in their data and make smarter business decisions faster.
Quasar was recognized as “Cool Vendor in Data Management” by Gartner in 2020.
Quasar’s main offices are based in Paris and New York. Trusted by industry leaders in manufacturing, capital markets, and telecom, Quasar is redefining what is possible with real-time data intelligence.
Contact Info
Vicki Formosa
Quasar AI
QuasarDB Successfully Achieves SOC 2 Compliance
New York City, NY – Feb 21st, 2024 – QuasarDB (quasar.ai), a leading high-performance time-series database designed for real-time data processing and analytics, announce the successful completion of its System and Organization Controls (SOC) 2 Type I audit, achieving compliance with the leading industry standards for customer data security. This report shows QuasarDB’s ongoing commitment to providing a secure data environment for its customers.
Developed by the American Institute of Certified Public Accountants (AICPA), a SOC 2 information security standard is a report that validates controls relevant to security, availability, integrity, confidentiality, and privacy. The audit was completed with the help of Johanson Group LLP, a premier certification body helping organizations to obtain and maintain global compliance standards.
Johanson Group attested to QuasarDB’s information security controls meeting the leading industry standards for time series databases. Johanson Group specializes in SOC 2 audits and provides audit and professional services to public and private companies, large and small, in a variety of industries.
SOC 2 has a rigorous requirement on how companies handle customer data and information, so compliance guarantees there are established and implemented organizational practices in place to safeguard customer data.
At its core, QuasarDB is committed to providing mission-critical data to industries such as manufacturing, financial services, energy and various others. Data integrity and security is a fundamental part of how QuasarDB manages user identity. SOC2 Type I compliance represents a commitment that secure systems and controls are maintained by the organization on an ongoing basis.
About QuasarDB
QuasarDB, founded in 2014, is a software publisher whose mission is to make real-time intel ubiquitous, for a safer and smarter world. Quasar captures, normalizes, and stores an unlimited volume of events in the most efficient way possible, and enables businesses to deriver better insights from this data.
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.
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QuasarDB "Seneca" 3.14.1 Released
We are thrilled to announce the immediate availability of QuasarDB 3.14.1, an update from 3.14.0.
This update brings major new features while being 100% compatible with 3.14.0. Features such as streaming aggregation (named aggregated tables) and automatic data expiration are now available to all users.
Streaming aggregations enable you to aggregate the data as it comes and store the aggregate, unlocking ultra-low latency analytics while crushing disk usage.
In addition, we’ve added numerous performance enhancements, query functionalities, and bug fixes, that make the upgrade to 3.14.1 highly recommended!
Change log
(w.r.t. 3.14.0)
- 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] 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