Data & Analytics Forum: Moving Telcos to Real Time
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MemSQL is a real-time database that allows users to simultaneously ingest, serve, and analyze streaming data and transactions. It is an in-memory distributed relational database that supports SQL, key-value, documents, and geospatial queries. MemSQL provides real-time analytics capabilities through Streamliner, which allows one-click deployment of Apache Spark for real-time data pipelines and analytics without batch processing. It is available in free community and paid enterprise editions with support and additional features.
Data & Analytics Forum: Moving Telcos to Real Time
- 1. The real-time database for transactions and analytics MemSQL Product Introduction
- 2. 2 Why MemSQL? Telecoms Must Operate in Real Time Streaming Transactions Analytics Detect and respond to business changes the moment they happen Deliver real-time analytics to applications with growing user bases Simultaneously ingest and serve data • Streaming workloads • Transactional workloads (OLTP) • Analytical workloads (OLAP)
- 3. 3 The Real-Time Database for Transactions and Analytics In-Memory DistributedRelational Datacenter or Cloud Multi-model RDBMS SQL Key-value pairs Documents (JSON) Geospatial In-Memory rowstore Memory-optimized on-disk columnstore Distributed query optimizer and execution Scale out on commodity hardware Simple Real-Time Affordable Flexible Deploy on-premises Deploy on AWS or Azure Marketplaces
- 4. 4 MemSQL Ecosystem and Architecture Orchestration / Containers Cloud / On-Premises Platform MessagingInputs Business Intelligence Dashboards Real-Time Applications In-Memory Database Columnstore RAM, SSD, Disk / Fast appends Relational Full transactional SQL Key-Value Two column table Document JSON Geospatial Rowstore RAM / Fast updates Streaming Real-time transformation Streamliner With Integrated Apache Spark Wire-protocol MemSQL Loader Hadoop Amazon S3
- 5. 5 MemSQL Streamliner Provides Immediate Access to Real-Time Analytics ApplicationApache Spark STREAMLINER Extract Transform Load STREAMLINER Real-Time Inputs One click deployment of integrated Apache Spark Create real-time data pipelines through a graphical UI Eliminate batch ETL Open sourced on GitHub at memsql.github.io/spark-streamliner
- 6. 6 MemSQL Community and Enterprise Editions Community Edition Free Forever Enterprise Edition Free 30-day Trial • Unlimited capacity and scale • Comprehensive SQL features • 24/7 support • Enterprise functionality • High availability • Cluster replication • Granular access controls • Security features
- 7. 7 Results Proactively diagnose issues Form real-time intelligence Deliver better viewer experience Comcast: Real-Time Operational Intelligence and Monitoring Log Collection Real-Time Analytics • Analysts query live data • Alerts on complex objects • Optimize CDN efficiency ~ 1 second ~ 30 minutes Application Real-time monitoring and analytics on streaming video Problem Collect streaming data at scale and make available to query in real-time
- 8. Akamai CDN Billing Application CDN customer billing Problem Oracle Exadata solution could only handle 57k upserts/second, could not keep up with new billing model Results MemSQL cluster performs at 1.9 million upserts/second, moving from monthly to daily billing CDN resource usage statistics INSERT... ON DUPLICATE KEY UPDATE... (1.9 million/sec) Billing Application • Compute customer charges daily • Roll up infrastructure usage by cloud provider • More sophisticated platform offers customers better service, partners new business opportunities