Analytics Acceleration for OLTP Data Stores
From Legacy to Modern Architectures
Traditional databases optimize transactions but struggle with analytics. Here’s how SingleStore can accelerate analytic performance for OLTP data stores.
Legacy Architecture
Step 1
Data Source
OLTP Databases
SQL Server, Postgres or Oracle
Step 2
Transform
ETL / CDC
Attunity, GoldenGate, Informatica, Talend
Step 3
Analyze
Data Marts / EDW
Oracle, SQL Server Teradata, SybaseIQ
Step 4
Visualize
Dashboard
Microstrategy, Tableau, Looker
The risks and costs of modernizing an operational database often results in offloading transactions to another database platform to support faster or highly concurrent analytics.
Modern Architecture with SingleStore
Step 1
Data Source
OLTP Databases
SQL Server, Postgres or Oracle
Step 2
Transform + Analyze
SingleStore
Directly connect Attunity, GoldenGate, Informatica, or Talend to SingleStore to analyze data in real time
Step 3
Visualize
Dashboard
Microstrategy, Tableau, Looker
Customer Snapshot
Leading Energy Company
SingleStore delivers operational consistency with live data syncronization along with breakthrough analytic performance without impacting application response time
Customer Snapshot
Leading Energy Company
A leading energy company struggled to perform critical invoice validation rules without disrupting application performance. With SingleStore and an efficient change data capture process, the validation rule runs more frequently to eliminate costly invoice errors.
Invoice Validation Before SingleStore
Step 1
Invoice Created
Vendor inputs invoice into Oracle
Step 2
Deduplication
In-database rules engine runs on operational database checking for duplicate invoice entries
Step 3
Invoice Cleared
Throttling rules engine maintains application performance while processing duplicate invoices
Step 4
Duplicate Invoices
Duplicate invoices sent to vendors and customers
Optimizing application performance results in throttling data validation rules, resulting in inaccurate records and added costs.
Invoice Validation After SingleStore
Step 1
Invoice Created
Vendor inputs invoice into Oracle
Step 2
Transform + Deduplication
Real-time data syncronization using change data capture ensures exact replica of operational system to enable continuous validation of accurate invoice records
Step 3
Accurate Invoices
Accurate invoices viewed in BI reports are accurately cleared for payment
Implementing SingleStore with a real-time change data capture process enabled an exact replica of the Oracle application for fast cost-effective processing of invoices.
Ready to get started?
See how SingleStore can modernize your data analytics
