BiG EVAL
4.6
13

Not Claimed

BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify data accuracy, it helps organizations avoid costly errors and reduce the risk of dissatisfied customers and end-users. BiG EVAL eliminates the time-consuming manual checks that many companies currently rely on, freeing up valuable time and resources. In addition, the user-friendly interface and pre-built templates make creating tests a breeze, even for those new to the tool. And for those who need more customization, scripting options are available. By using BiG EVAL, companies can avoid risks caused by inaccurate data and ensure smooth, efficient processes while easily achieving a 300% ROI.
Developer
Bolt Technology Consulting GmbH
Category
Analytics
Suitable for enterprise
Enterprises

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BiG EVAL Plan

Lite $ 79 1 User Per Month
Ideal for sporadic data testing with no automation requirements by a single user. Single User only 50 Test Cases 2 Data Sources (incl. OLEDB, ODBC, Textfiles) Essentials Scripting Manual Testruns more details on our website
Launch $ 199 1 user Per Month
Ideal for small teams with basic automation and customization needs. Max. 2 Users 100 Test Cases 5 Data Sources (incl. OLEDB, ODBC, Textfiles) Basic Scripting + Time Scheduled Testruns more details on our website
Scale $ 499 1 User Per Month
Ideal for teams that need integrated data testing and validation capabilities. 2 to 5 Users Unlimited Test Cases Unlimited Data Sources (+ API's, Teradata) Full Scripting + API Triggered Testruns more details on our website
Corporate $ Contact Us 1 User Per Year
Ideal for enterprises with advanced requirements and application policies. Min. 5 Users Unlimited Test Cases Unlimited Data Sources (+ SAP, Microsoft Dataverse) Full Scripting + Premium Integrations (Jira, TestRail ...) Assisted Problem Solving Enterprise Features (Code Versioing, Auditing) Enterprise Security (Workspaces, SAML...)
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