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Building the Ideal Stack for Real-Time Analytics
1. Building the Ideal Stack
for Real-Time Analytics
Steven Camiña, Principal Product Manager
2. MISSION
Make every company a real-time enterprise
PRODUCT
Database Platform: Real-Time | Scalable | Proven
Ranked #1 Operational Data Warehouse
ABOUT
Founders are former Facebook, SQL Server database engineers
YC alumni with $85m in funding from top tier investors
MemSQL at a Glance
6. Other
Drive new revenue opportunities
Increase efficiency and reduce cost
Power new applications
(Example: IoT data processing)
Improve customer experience
Deliver real-time dashboards 52%
52%
43%
36%
29%
4%
Why are you pursuing real-time analytics?
6 MemSQL State of Real Time Survey 2016
7. 7
The Ideal Real-Time Stack
Message Queue Transformation Tier Data Persistence Real-Time Visualization
12. 12
The Ideal Real-Time Stack
Message Queue Transformation Tier Data Persistence Real-Time Visualization
13. A massively scalable database and ingest solution allowed for
massive growth, real-time analytic applications and faster, targeted.
+
MemSQL Confidential13
14. 14
TECHNICAL BENEFITS
§ Instant accuracy to the latest re-pin
§ 1 GB/sec totaling 72 TB/day
THE PINTEREST REAL-TIME ARCHITECTURE
REAL-TIME
ANALYTICS
15. Real-time drilling sensor data to manage the high stakes of
producing oil in a depressed market and maximizing productivity.
+
15
Energy Company
16. 16
TECHNICAL BENEFITS
§ Enabled machine learning scoring of streaming data for real-
time Predictive Analytics
§ Integrated SAS BI PMML for deep analytics
§ Joined multiple data types and third party sources including
geospatial and weather data
Energy Company