Testing Across Different Platforms

Retrieve data from different sources and verify your Data Movement throughout the process.

Technical Challenge

How do you verify that data from multiple sources went through the ETL process and into the target Big Data store or Data Warehouse correctly?

Your project pulls data from various sources, including flat files, Excel, mainframe, and databases from different vendors. You need to retrieve data from these different platforms and then verify that the transformations of your ETL process have been performed correctly. You know you can code this, but the effort is daunting. What can you do?

The QuerySurge Solution

QuerySurge, the only test tool designed specifically for testing Big Data & Data Warehouses, can natively connect to almost any data warehouse, Hadoop, NoSQL store, file, database, XML or Excel file. QuerySurge will then pull data from the data source and from the target Big Data store or Data Warehouse and compare every record set, providing you will full data validation coverage.

QuerySurge connects to all of the following environments:

  • Amazon
  • Cassandra
  • Cloudera
  • Cloudant
  • DataStax
  • Hadoop
  • Hortonworks
  • HP
  • IBM
  • MapR
  • Microsoft
  • MongoDB
  • NoSQL stores
  • Oracle
  • Pivotal
  • PostgreSQL
  • SAP
  • Teradata
  • XML
  • Flat Files
  • any other JDBC-compliant database or data source

QuerySurge will validate 100% of all of your data, providing full coverage and mitigating the risk while providing reports highlighting every data difference, down to the individual character. It will also automate the entire testing process, from scheduling to execution to reporting across multiple platforms and architectures.

QuerySurge will:

  • improve your data quality & data governance
  • accelerate your data delivery cycles
  • reduce your costs & risks
  • provide a huge ROI

But don’t believe us (or our clients). Try it for yourself.
Check out our free tutorial here>>

Case Study

Contract R&D Company Saves $288,000 in 1 Clinical Trials Data Migration Testing Project

Read about a company that embarked on a data migration testing project to ensure that over 300,000 records were transformed and loaded from an older Siebel source system to a newer Siebel system. The QA team was able to validate 100% of the data throughout the process.