Promethium vs. QuerySurge Comparison


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About Promethium helps data and analytics teams work smarter so they can stay ahead of growing data volumes and business needs. Simply connecting to a data warehouse or data lake to get access to raw data is not enough. Datasets require a lot of hard work from data teams! Data Teams aren't growing as fast as data volumes or business demand for data. Promethium helps overloaded data teams work smarter so they can deliver faster. Rely less on ETL, with access data on demand where it lives. Moving less data saves time and money. With Promethium one person can do in minutes what typically takes a team months using 6 or more tools. With a few clicks and without writing code, connect and catalog data sources and create and query cross-source datasets. Less custom code and ETL. Validate data is correct in real-time, not after months of work and ETL. Instantly share work so that it is reused, instead of recreated.	About QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence: Analytics dashboard & reports
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Data and analytics teams seeking an augmented data management solution to optimize their operations	Audience Testers, Data Architects, ETL Developers, BI Analysts, & Operations teams
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.9 / 5 features 4.9 / 5 design 4.5 / 5 support 5.0 / 5 Read all reviews
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Promethium Founded: 2018 United States www.pm61data.com	Company Information RTTS Founded: 1996 United States www.querysurge.com
Alternatives Coco Alemana	Alternatives DataOps DataFlow Datagaps
Data Lakes on AWS Amazon	iceDQ
Lentiq	Tosca Tricentis
Deepnote	Keysight Eggplant Keysight Technologies
OrcaSheets View All	Datagaps DataOps Suite Datagaps View All
Categories Data Analysis	Categories Automated Testing Big Data Continuous Testing Data Analysis Data Governance Data Migration Data Pipeline Data Quality Data Validation Data Warehouse Database ETL Functional Testing NoSQL Database Test Management
	Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Show More Features Automated Testing Features Hierarchical View Move & Copy Parameterized Testing Requirements-Based Testing Security Testing Supports Parallel Execution Test Script Reviews Unicode Compliance Big Data Features Collaboration Data Blends Data Cleansing Data Mining Data Visualization Data Warehousing High Volume Processing No-Code Sandbox Predictive Analytics Templates Data Quality Features Address Validation Data Deduplication Data Discovery Data Profililng Master Data Management Match & Merge Metadata Management Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control Functional Testing Features Automated Testing Interface Testing Regression Testing Reporting / Analytics Sanity Testing Smoke Testing System Testing Unit Testing Test Management Features Automation Integration Collaboration Tools Pass/Fail Results Tabulation Reporting / Analytics Requirements Management Test Scheduling Test Tracking Time/Budget Tracking
Integrations Microsoft Power BI SQL Server Snowflake Strategy ONE Amazon Redshift Athena Archiver Azure Databricks BlueSwan Cloudera IBM Db2 IBM Db2 Big SQL Microsoft Excel MongoDB Atlas Oracle Business Intelligence (OBIEE) Oracle Cloud Infrastructure PostgreSQL SAP BusinessObjects Business Intelligence Tableau Teradata VantageCloud ThoughtSpot Show More Integrations View All 16 Integrations	Integrations Microsoft Power BI SQL Server Snowflake Strategy ONE Amazon Redshift Athena Archiver Azure Databricks BlueSwan Cloudera IBM Db2 IBM Db2 Big SQL Microsoft Excel MongoDB Atlas Oracle Business Intelligence (OBIEE) Oracle Cloud Infrastructure PostgreSQL SAP BusinessObjects Business Intelligence Tableau Teradata VantageCloud ThoughtSpot Show More Integrations View All 21 Integrations
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