The ability to quickly act on information to solve problems or create value has long been the goal of many businesses.
However, it was not until recently when new technologies emerged that the speed and scalability requirements of real-time analytics could be addressed both technically and cost-effectively by organizations on a large scale.
Today, close to half of DBTA subscribers are seeking real-time data capabilities to support a wide range of use cases, from more timely dashboards and reports, to fraud detection and IoT edge decision engines.
DBTA held a roundtable webinar featuring Anais Dotis-Georgiou, developer advocate, InfluxData and Rob Hedgpeth, director, developer relations, MariaDB, to educate IT and business stakeholders about the key capabilities for succeeding with real-time analytics.
A time series is a series of data points indexed (or listed or graphed) in time order, Dotis-Georgiou explained. Time series can be found in:
- IoT Monitoring
- DevOps Monitoring
- Business Analytics
- Medical, Biotech, and Healthcare
A TSDB Platform should enables real-time time series analytics by enabling you to successfully collect, process, and write high volumes of data; handle extremely high ingest volumes; be able to support a lot of analytics server side for increased performance; reduce the complexity of your data analytics pipeline to allow you to focus on gaining insights from your data; support a wide variety of visualizations.
MariaDB sets the standard for open source relational databases, with Oracle Database compatibility (e.g., sequences and PL/SQL), temporal tables, transparent sharding, instant schema changes, point-in-time rollback and modern SQL (i.e., common table expressions (CTEs), window functions, JSON functions and more), according to Hedgpeth.
MariaDB also includes storage solutions like ColumnStore, which can be used to work with massive amounts of data to provide real-time analytics at scale, and even a Distributed SQL solution, MariaDB Xpand.
An archived on-demand replay of this webinar is available here.