delivered at the Gartner Data and Analytics 2018 show in Texas. This presentation discusses real-time applications and their impact on existing data infrastructures
15. 15
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
Batch data
Integration
processes
!
16. 16
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Multiple
specialized
databases
17. 17
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Stale data due
to architecture
complexity
32. 32
Analytic
- Fast queries
- Large concurrency
- Petabyte scale
Convergence drives simplicity and speed
Operational
- ACID Transactions
- Fast data ingestion
- ANSI SQL
- Secure
33. MemSQL Unified Architecture
33
Historical Data
Disk-optimized tables
with compression for
fast analytic queries
Live Data
Memory optimized tables
for analyzing real-time
events
Streaming Ingest
Real-time data pipelines
with exactly-once
semantics
34. MemSQL: The Database for Real-Time Applications
Converging Transactions and Analytics at Scale
34
Run
Anywhere
Any cloud, hybrid, or multicloud
On-premises
Low cost standard hardware
Scale
Transactions and Analytics
Petabyte scale
In-memory and disk-based
Unified mixed workload architecture
Power
Real-Time Applications
Fast ingestion and queries
Operational capabilities
Multi-model and data support