The challenges of 24/7 trading The NYSE will be the next major index to turn on 24/7 trading. This change will significantly impact traditional equity trading and financial institutions will likely be lacking the IT infrastructure to support the major changes this will bring to their business. We’ve highlighted the major challenges this presents […]
With the rise of cryptocurrency and retail trading apps like Robinhood, 24/7 trading has been a growing trend, want to buy a coin named after a Pokémon at 3:00AM on a Sunday, Crypto exchanges have you covered. However, one asset class has been trying to resist the change and keep it ‘old school’ equity. Trading […]
We are pleased to announce that we have recently completed our System and Organization Controls (SOC) 2 Type I Audit. As a leading high-performance time-series database designed for real-time data processing and analytics, this certification reinforces our position as a trusted partner in the tech industry. Industry-Standard Accreditation The SOC 2 audit is one the […]
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 […]
We are thrilled to announce the immediate availability of QuasarDB 3.14.0, an update from 3.13.7. Multiple performance and fixes have been added in this release, as well as support for multiple readers from a single S3 bucket, improved S3 backup speed, and, last but not least, initial support for windowing functions with the SQL OVER […]
Nowadays, data warehouses seem to be the solution for everything – one-stop shops for all your enterprise data requirements. And if you have some experience with data warehouses, you might ask yourself, why would I need anything else? Data warehouses work great! However, suppose you apply a data warehouse to a large volume of time-series […]
