Datameer vs. IBM Analytics Engine Comparison


Datameer	IBM Analytics Engine IBM	+	+
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With a dev2dev approach, icCube's team accompanies clients to successfully and quickly get into production. At icCube, we understand that navigating the complexities of data can be daunting. That’s why we’re excited to introduce also our Data Analytics Boutique Services, designed to empower both existing and new clients in achieving seamless data integration, robust data security, insightful analytics, effective decision automation and dashing reports. We partner with our clients at all stages and all phases of their projects and product roadmaps. From a quick review up to a full project and product 30 Ratings Visit Website DbVisualizer DbVisualizer is one of the world's most popular database editors. With almost 7 million downloads and Pro users in 150 countries worldwide, it won't disappoint you. Free and Pro versions are available. 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About Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development	About IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.
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 Datameer is the tool of choice for analysts working with Snowflake data.	Audience Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers
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 $0.014 per hour 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 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 Datameer Founded: 2009 United States www.datameer.com	Company Information IBM Founded: 1911 United States www.ibm.com/cloud/analytics-engine
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Categories Data Analysis Data Catalog Data Discovery Data Engineering Data Integration Data Lineage Data Pipeline Data Preparation Data Validation Data Visualization Metadata Management Reporting	Categories Data Discovery Data Visualization
Data Discovery Features Contextual Search Data Classification Data Matching False Positives Reduction Self Service Data Preparation Sensitive Data Identification Visual Analytics Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery Show More Features Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Data Lineage Features Database Change Impact Analysis Filter Lineage Links Implicit Connection Discovery Lineage Object Filtering Object Lineage Tracing Point-in-Time Visibility User/Client/Target Connection Visibility Visual & Text Lineage View Data Preparation Features Collaboration Tools Data Access Data Blending Data Cleansing Data Governance Data Mashup Data Modeling Data Transformation Machine Learning Visual User Interface Reporting Features Customizable Dashboard Data Source Connectors Drag & Drop Drill Down Email Reports Financial Reports Forecasting Marketing Reports OLAP Report Export Sales Reports Scheduled / Automated Reports
Integrations Eclipse BIRT LinkedIn Microsoft OneNote MongoDB Atlas Phoenix Ortho Pinterest PostgreSQL QuickBooks Time RadiantOne SAP Concur SAP SuccessFactors Spark Streak Stripe Twilio UPS Ready Wasabi Xero Zoho CRM eBay Show More Integrations View All 108 Integrations	Integrations Eclipse BIRT LinkedIn Microsoft OneNote MongoDB Atlas Phoenix Ortho Pinterest PostgreSQL QuickBooks Time RadiantOne SAP Concur SAP SuccessFactors Spark Streak Stripe Twilio UPS Ready Wasabi Xero Zoho CRM eBay Show More Integrations View All 7 Integrations
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