QuerySurge vs. Yandex Data Proc Comparison


QuerySurge RTTS	Yandex Data Proc Yandex	+	+
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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	About You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.
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 Testers, Data Architects, ETL Developers, BI Analysts, & Operations teams	Audience Anyone interested in a solution for processing multi-terabyte data arrays
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 $0.19 per hour Free Version Free Trial
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	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
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information RTTS Founded: 1996 United States www.querysurge.com	Company Information Yandex Founded: 1997 Russia cloud.yandex.com/en/services/data-proc
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Datagaps DataOps Suite Datagaps View All	Google Cloud Dataflow Google View All
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	Categories Data Pipeline
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 Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics 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 Apache Flume Apache HBase Apache Hive Apache Spark Apache Zeppelin Azure Databricks Cloudera IBM Db2 Big SQL Microsoft Power BI MongoDB MongoDB Atlas MySQL NumPy Oracle Database Python SAP BusinessObjects Business Intelligence SQL Server Salesforce CRM Analytics pandas scikit-image Show More Integrations View All 21 Integrations	Integrations Apache Flume Apache HBase Apache Hive Apache Spark Apache Zeppelin Azure Databricks Cloudera IBM Db2 Big SQL Microsoft Power BI MongoDB MongoDB Atlas MySQL NumPy Oracle Database Python SAP BusinessObjects Business Intelligence SQL Server Salesforce CRM Analytics pandas scikit-image Show More Integrations View All 15 Integrations
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