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MariaDB Team on Today’s Webinar
Jürgen Giesel Vanessa S D’Amelio Dipti Joshi
Dion Cornett Nishant Vyas
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Let’s Get Started - Some Housekeeping
We will review the questions as they come in and answer then during the Q&A. You can post in chat
This session is being recorded1.
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Running time is approximately 30 minutes
Copies of the slides will be sent out after the webinar ends
Don’t forget to share on your social networks and to follow us on Twitter, Facebook and LinkedIn to learn about upcoming webinars
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Welcome
We will send you the slides and a link to the recorded webinar.
Please share this with your social network!
Nishant VyasHead of MariaDB
Product and Strategy
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“We should be talking about the analytics of things,
not the internet of things.”
Jim DavisCMO, SAS
Current State of Analytics
● Traditional OLAP○ Cost to perform○ Appliances or Proprietary Solutions
● Big-Data Analytics○ Scale-Out to perform○ Non-SQL Interfaces
● Analytics and Transaction Separation
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Why MariaDB ColumnStore
SQL
Price to Performance at Scale
Data Analytics using SQL or SPARK
Unified Simplicity ( Transaction and Analytics under the same Roof )
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Michael “Monty” WideniusFounder & CTO of MariaDBCreator of MySQL, MariaDB
MariaDB ColumnStore is Open-Source GPL2
The Soul of Open Source
10Social Media
Transactional, Operational
Sensors
MaxScale
MariaDB OLAP
ColumnStore
Node 1 Node 2 Node 3 Node N...
Biometrics
Mobile
BI Tools, Data Science Applications
Connectors,SPARK Integration etc
ETL Tools
Analytics Insight
Descriptive AnalyticsWhat is Happening?
Diagnostic AnalyticsWhy did it Happen?
Predictive AnalyticsWhat is likely to happen?
Prescriptive AnalyticsWhat should I do about it?
Data Collection
Data Processing
MariaDB OLAP
MariaDB ColumnStore Architecture
▪ User Module : Processes SQL Requests
▪ Performance Module : Multi Threaded Distributed Processing Engine
Columnar Distributed Data Storage
MariaDB SQL Front End
Query Engine
User Modules
Performance Modules 1 ... Performance
Modules NPerformance Modules 2
Performance Modules 3
Clients
User Connections
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MariaDB ColumnStore 1.0 Performance • Columnar Storage, multi-threaded and Massively Parallel execution engine
High Availability • Built in redundancy and high availability
Scale • Near Linear scalability
Analytics • In database analytics with Complex and Cross Engine JOINs• Windowing functions and UDFs• Out of box BI Tools connectivity, • Analytics integration with R
Ease of Use • ANSI SQL compatible • ACID compliant• No indexes, No materialized views• No manual partitioning
Data Ingestion • Create Table as Select, Like -- locally, cross database joins, or over ODBC• High speed parallel data load and extract
Security • SSL support, Audit Plugin, Authentication Plugin, Role Based Access
Deployment Options • On premise, AWS• Supports local disks, SAN, HDFS, GlusterFS 12
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MariaDB OLAP Roadmap Subscription offering
● Future Releases
○ Apache Spark Integration
○ Native API for columnar file
○ Data Streaming integration with MaxScale
○ ROLLUP, CUBE in MariaDB ColumnStore
○ CONNECT Engine support in MariaDB Server
○ SQL Editor (OSS or 3rd party partner)
○ Join and Filter performance optimization
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Learn more about MariaDB ColumnStore
● BETA release in May 2016.
● Sign up for notification of Beta availability.
● Product Page https://mariadb.com/products/mariadb-columnstore
Thank YouNishant Vyas, MariaDB Head of Product and Strategy
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