• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

MariaDB Community Server 10.5 turns into analytics powerhouse with cloud-native storage

June 24, 2020 By admin Leave a Comment

MariaDB Gives the Power of Analytics to Millions for Free

MariaDB® Corporation today announced the general availability of MariaDB Community Server 10.5, a major new release that brings high-performance analytics to the hands of millions using the popular open source database. In a push to mainstream analytics and to make it as popular as MariaDB’s transactional engine, the company added a new, native columnar storage engine to the community database server and a new, native MariaDB Python Connector and Microsoft Power BI integration. Together, these new capabilities provide traditional MariaDB users and data scientists around the world with powerful analytics. All new analytical capabilities in MariaDB Community Server 10.5 are available for free with unrestricted use to broaden adoption of hybrid transactional and analytical processing, and modern analytical approaches.

MariaDB is one of the top five most used databases globally with a user base of tens of millions. It has replaced MySQL as the default on nearly all major Linux distributions and has been downloaded over one billion times on Docker Hub. With the release of MariaDB Community Server 10.5, MariaDB users can extend the traditional transactional capabilities of the database to now perform interactive analytics at scale on hundreds of billions of rows.

“Data analytics are a core component of any modern application,” said Gregory Dorman, vice president of distributed systems and analytics, MariaDB Corporation. “Customers expect applications to give them insights, historical comparisons, predictions and automation in order to make better, smarter decisions and deliver a more intuitive experience. With the new native, fully integrated analytical capabilities, MariaDB community users now have an out-of-the-box, cost-effective solution for storing and accessing massive amounts of data in split seconds. It will transform how everyone around the world views and uses MariaDB to start building modern everyday applications.”

MariaDB’s modern architecture enables new flexibility

MariaDB achieves high-performance analytics using MariaDB ColumnStore, which stores data in a columnar format for up to 10x data compression on disk and uses parallel query to perform interactive analytics in real time. MariaDB first released ColumnStore in 2016 and has delivered significant advancements in the technology to add additional performance improvements, streaming capabilities, faster import and query times, and cloud-native storage. Over the years, ColumnStore has grown in popularity and received several community contributions, including a new data type for TIMESTAMP. By integrating ColumnStore as a native storage engine in MariaDB Server – similar to other native storage engines such as InnoDB, MyRocks, Spider and Aria – users can simply add columnar tables to existing databases to introduce or supercharge analytics while improving transactional performance. Benefits include:

Modern data warehousing: Traditional data warehouses have proven to be complex and expensive. Hadoop implementations have fallen short with the lack of real-time analytics. Many public cloud options are expensive and difficult to integrate with transactional data. MariaDB Community Server 10.5 delivers a modern data warehousing solution for interactive, ad hoc analytics on low-cost, cloud object storage. MariaDB leverages a cloud-native, disaggregated architecture for analytics using an API compatible with AWS S3 object storage for up to 70% cost savings over block storage, 99.999999999% durability and 99.99% availability, storage across multiple availability zones, and unlimited storage capacity.
Smart transactions: Modern applications require access to vast amounts of data optimized for analytical queries and machine learning models so that transactions can be augmented with data-driven insights – transforming standard transactions into smart transactions. MariaDB Community Server 10.5 enables the use of row and columnar storage together in one database, making it easy to turn every transaction into a smart transaction, augmented by data and insights from vast amounts of additional data. Developers can now quickly deliver modern applications by leveraging their existing skill sets, including standard SQL, to blend transactions and analytics – previously only achievable with expensive legacy systems and hardware.
Faster analytical queries for growing datasets: Applications experiencing a surge in users and transactions result in rapidly growing databases with changing query patterns, complex indexes to avoid performance problems and slow query times – all of which impact customer experience. The situation often grows worse when reports or analytical queries need to run at the same time. Separating active transactional data and historical data by moving unused data to columnar tables dramatically reduces the time for analytical queries and immediately restores performance to the application.
Even more options to connect and analyze data in MariaDB

MariaDB Server is compatible with the widely used MySQL database protocol and therefore supports native integrations with all leading BI and data analysis tools and frameworks. This compatibility also enables access to data in any MariaDB storage engine, including ColumnStore. In addition, MariaDB released two new, native connectors to make data analysis with MariaDB easier and faster.

Supporting data analysis with Python: Python is one of the most popular programming languages in the world. It has long been used for web development, but recently has seen a surge in use for data analysis. According to the Python Software Foundation’s 2019 developer survey, 59% of respondents stated they use Python for data analysis, followed by web development at 51% and machine learning at 40%. The native MariaDB connector makes it easy and fast for anyone running data analysis using Python to connect to transactional and analytical data stored in MariaDB.
Power BI integration for powerful analysis and data visualization: MariaDB makes data analysis and visualization even easier with a new integration with Microsoft’s Power BI. With the new adapter, Power BI users can quickly analyze and aggregate data natively in MariaDB then run interactive reports that are highly visual and easy to share within the business.
Availability

MariaDB Community Server 10.5 including ColumnStore is available immediately for free direct download on the MariaDB website now and through Docker Hub by the end of June. MariaDB Connector/Python and MariaDB Power BI adapter can be downloaded from mariadb.com. For customers interested in MariaDB for demanding production environments with built-in high availability and massively parallel processing (MPP), please contact MariaDB for early access to MariaDB Enterprise Server 10.5.

About MariaDB Corporation
MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional, analytical or hybrid use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database.

Filed Under: Tech

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • DealHub Raises $100M to Redefine Enterprise Quote-to-Revenue
  • Preply Reaches $1.2B Valuation After $150M Series D to Scale Human-Led, AI-Enhanced Language Learning
  • Datarails Raises $70M Series C to Turn the CFO’s Office into an AI-Native Nerve Center
  • Emergent Raises $70M Series B as AI Turns Software Creation Into an Entrepreneurial Commodity
  • Fujifilm Introducing SX400: A Long-Range Camera Designed for the Real World
  • D-Wave Becomes the First Dual-Platform Quantum Computing Company After Quantum Circuits Acquisition
  • Wasabi Technologies Secures $70M to Fuel the Next Phase of AI-Ready Cloud Storage
  • Samsung Maintenance Mode: The Quiet Feature That Actually Changed How I Buy Phones
  • Miro AI Workflows Launch: From Whiteboard Chaos to Enterprise-Grade Deliverables
  • 10 Breakthrough Technologies of 2026

Media Partners

  • Market Analysis
  • Cybersecurity Market
Baseten Raises $300M to Dominate the Inference Layer of AI, Valued at $5B
Nvidia’s China Problem Is Self-Inflicted, and Washington Should Stop Pretending Otherwise
USPS and the Theater of Control: How Government Freezes Failure in Place
Skild AI Funding Round Signals a Shift Toward Platform Economics in Robotics
Saks Sucks: Luxury Retail’s Debt-Fueled Mirage Collapses
Alpaca’s $1.15B Valuation Signals a Maturity Moment for Global Brokerage Infrastructure
The Immersive Experience in the Museum World
The Great Patent Pause: 2025, the Year U.S. Innovation Took a Breath
OpenAI Acquires Torch, A $100M Bet on AI-Powered Health Records Analytics
Iran’s Unreversible Revolt: When Internal Rupture Meets External Signals
Fortinet Stock Rises as Wall Street Drops the AI Fear Narrative
Lumu’s 2026 Compromise Report: Why Cybersecurity Has Entered the Age of Silent Breaches
Novee Emerges from Stealth, 2025, Offensive Security at Machine Speed
depthfirst Raises $40M Series A to Build AI-Native Software Defense
Bitwarden Doubles Down on Identity Security as Passwords Finally Start to Lose Their Grip
Cloudflare App Innovation Report 2026: Why Technical Debt Is the Real AI Bottleneck
CrowdStrike Acquires Seraphic Security: Browser Security Becomes the New Cyber Frontline
Hedge Funds Quietly Rewrite Their Risk Playbook as Cybersecurity Becomes Non-Negotiable
Torq Raises $140M Series D, Reaches $1.2B Valuation as Agentic AI Redefines the SOC
CrowdStrike–SGNL Deal Signals Identity’s Promotion to the Center of Cyber Defense

Media Partners

  • Market Research Media
  • Technology Conferences
BBC and the Gaza War: How Disproportionate Attention Reshapes Reality
Parallel Museums: Why the Future of Art Might Be Copies, Not Originals
ClickHouse Series D, The $400M Bet That Data Infrastructure, Not Models, Will Decide the AI Era
AI Productivity Paradox: When Speed Eats Its Own Gain
Voice AI as Infrastructure: How Deepgram Signals a New Media Market Segment
Spangle AI and the Agentic Commerce Stack: When Discovery and Conversion Converge Into One Layer
PlayStation and the Quiet Power Center of a $200 Billion Gaming Industry
Adobe FY2025: AI Pulls the Levers, Cash Flow Leads the Story
Canva’s 2026 Creative Shift and the Rise of Imperfect-by-Design
fal Raises $140M Series D: Scaling the Core Infrastructure for Real-Time Generative Media
Humanoid Robot Forum 2026, June 22–25, Chicago
Supercomputing Asia 2026, January 26–29, Osaka International Convention Center, Japan
Chiplet Summit 2026, February 17–19, Santa Clara Convention Center, Santa Clara, California
HumanX, 22–24 September 2026, Amsterdam
CES 2026, January 7–10, Las Vegas
Humanoids Summit Tokyo 2026, May 28–29, 2026, Takanawa Convention Center
Japan Pavilion at CES 2026, January 6–9, Las Vegas
KubeCon + CloudNativeCon Europe 2026, 23–26 March, Amsterdam
4YFN26, 2–5 March 2026, Fira Gran Via — Barcelona
DLD Munich 26, January 15–17, Munich, Germany

Copyright © 2022 Technologies.org

Media Partners: Market Analysis & Market Research and Exclusive Domains, Photography