AtScale vs. DataBuck Comparison


AtScale	DataBuck FirstEigen	+	+
Learn More Update Features	Visit Website	Add To Compare	Add To Compare



About AtScale helps accelerate and simplify business intelligence resulting in faster time-to-insight, better business decisions, and more ROI on your Cloud analytics investment. Eliminate repetitive data engineering tasks like curating, maintaining and delivering data for analysis. Define business definitions in one location to ensure consistent KPI reporting across BI tools. Accelerate time to insight from data while efficiently managing cloud compute costs. Leverage existing data security policies for data analytics no matter where data resides. AtScale’s Insights workbooks and models let you perform Cloud OLAP multidimensional analysis on data sets from multiple providers – with no data prep or data engineering required. We provide built-in easy to use dimensions and measures to help you quickly derive insights that you can use for business decisions.		About DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported		Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Semantic layer software for modern BI and data science teams		Audience Data professionals interested in a powerful autonomous data quality validation platform
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported		Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported		API Offers API Supported
Screenshots and Videos View more images or videos		Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported		Pricing Consumption-based and annual fixed licensing fee are both available. Free Version Not Supported Free Trial Not Supported
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 Read all reviews

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported		Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information AtScale Founded: 2013 United States www.atscale.com		Company Information FirstEigen Founded: 2015 United States firsteigen.com/databuck/
Alternatives Apache Kylin Apache Software Foundation		Alternatives Databricks
Kyvos Semantic Layer Kyvos Insights		Decube
Codd AI		Datagaps DataOps Suite Datagaps
Denodo Denodo Technologies		Anomalo
Dremio View All		DataHub View All
Categories Big Data Supported Data Engineering Supported Data Fabric Supported Data Virtualization Supported Data Warehouse Supported Semantic Layer Supported		Categories AI Data Analytics Supported Big Data Supported Data Engineering Supported Data Governance Supported Data Intelligence Supported Data Management Supported Data Matching Supported Data Observability Supported Data Pipeline Supported Data Quality Supported Data Validation Supported DataOps Supported Reconciliation Supported
		Big Data Features Collaboration Not Supported Data Blends Not Supported Data Cleansing Not Supported Data Mining Not Supported Data Visualization Not Supported Data Warehousing Not Supported High Volume Processing Supported No-Code Sandbox Not Supported Predictive Analytics Not Supported Templates Not Supported Show More Features Data Quality Features Address Validation Not Supported Data Deduplication Not Supported Data Discovery Not Supported Data Profililng Supported Master Data Management Not Supported Match & Merge Not Supported Metadata Management Not Supported
Integrations Amazon Web Services (AWS) Supported Cloudera Supported AWS Glue Not Supported Amazon S3 Not Supported Apache Airflow Not Supported Azure Cosmos DB Not Supported Azure SQL Database Not Supported Databricks Not Supported Google Cloud BigQuery Not Supported Google Cloud Dataflow Not Supported Google Cloud Platform Not Supported Microsoft Azure Not Supported Microsoft Power Query Supported PostgreSQL Not Supported SQL Server Not Supported Skott Supported Snowflake Not Supported Tableau Supported Teradata VantageCloud Not Supported jethro Supported Show More Integrations View All 6 Integrations		Integrations Amazon Web Services (AWS) Supported Cloudera Supported AWS Glue Supported Amazon S3 Supported Apache Airflow Supported Azure Cosmos DB Supported Azure SQL Database Supported Databricks Supported Google Cloud BigQuery Supported Google Cloud Dataflow Supported Google Cloud Platform Supported Microsoft Azure Supported Microsoft Power Query Not Supported PostgreSQL Supported SQL Server Supported Skott Not Supported Snowflake Supported Tableau Not Supported Teradata VantageCloud Supported jethro Not Supported Show More Integrations View All 16 Integrations
Claim AtScale and update features and information Claim AtScale and update features and information