IMC Summit 2016 Innovation - Dennis Duckworth - Lambda-B-Gone: The In-memory Case Study for Faster, Smarter and Simpler Answers
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This document discusses the benefits and features of VoltDB, an operational database designed for in-memory processing. It highlights its advantages over traditional architectures, particularly in real-time analytics, scalability, and simplified system architecture, as demonstrated through a case study with MaxCDN. Additionally, it mentions integration capabilities with other platforms and the importance of idempotence in transaction processing.
IMC Summit 2016 Innovation - Dennis Duckworth - Lambda-B-Gone: The In-memory Case Study for Faster, Smarter and Simpler Answers
- 1. LAMBDA-B-GONE: IN-MEMORY CASE STUDY FOR FASTER, SMARTER AND SIMPLER ANSWERS DENNIS DUCKWORTH VOLTDB See all the presentations from the In-Memory Computing Summit at http://imcsummit.org
- 2. VOLTDB An operational database purpose-built to run 100% in-memory at web scal In-Memory Relational, SQL, fully ACID compliant Scale-out on commodity hardware Reliability, HA, fault tolerant Integration with OLAP, Hadoop, DW Best use cases: operational and transactional workloads
- 4. VOLTDB-IMPROVED VERSION OF LAMBDA ARCHITECTURE
- 5. CASE STUDY 5 Content Delivery Network Service Provider Business challenges: - Real-time analytics for customers - Data accuracy: over/under billing - Scalability
- 6. SQL interface unlike Trident or Spark-Streaming Merges the good things of the old-world like SQL and transactions with the good things of the new world like ‘no-locks’, ‘k-factor’ HA, etc…. Very simple and intuitive API and usage k-factor + logs + snapshots eliminates the need to backup the system Fast query performance Horizontal scalability MAXCDN FINDINGS: VOLTDB ADVANTAGES
- 7. MAXCDN FINDINGS: VOLTDB ADVANTAGES
- 8. MAXCDN RESULTS 8 Simplified system architecture 1/10th the compute resources 100% budget accuracy, eliminated $$$ under/over spending Faster time to value “We chose to go with VoltDB over other streaming aggregate solutions (like Trident) for its SQL interface, real-time Ad-Hoc queries over our raw data, and simpler overall design” Behzad Pirvali, Architect, MaxCDN
- 9. REAL-TIME IN-MEMORY OLTP AND ANALYTICS WITH APACHE IGNITE ON AWS BY BABU ELUMALAI HTTP://BLOGS.AWS.AMAZON.COM/BI GDATA/POST/TX3RS3V80XNRJH3/RE AL-TIME-IN-MEMORY-OLTP-AND- ANALYTICS-WITH-APACHE-IGNITE- ON-AWS
- 10. AMAZON DYNAMODB
- 11. AMAZON DYNAMODB + AWS LAMBDA + KINESIS FIREHOSE + S3 + REDSHIFT
- 12. AMAZON DYNAMODB + AWS LAMBDA + KINESIS FIREHOSE + S3 + REDSHIFT + SPARK + SPARK STREAMING +
- 13. AMAZON DYNAMODB + AWS LAMBDA + KINESIS FIREHOSE + S3 + REDSHIFT + SPARK + SPARK STREAMING IGNITE + KCL
- 14. VOLTDB-IMPROVED VERSION OF LAMBDA ARCHITECTURE
- 15. VOLTDB-IMPROVED VERSION OF LAMBDA ARCHITECTURE
- 16. ONE LAST THOUGHT: WORD OF THE DAY IDEMPOTENCE THE PROPERTY OF CERTAIN OPERATIONS IN MATHEMATICS AND COMPUTER SCIENCE, THAT CAN BE APPLIED MULTIPLE TIMES WITHOUT CHANGING THE RESULT BEYOND THE INITIAL APPLICATION.
- 17. DONE - THANK YOU If you want to talk about how real transactions (and idempotence) can help you, come see us. http://voltdb.com @dennisduckworth dduckworth@voltdb.com