Datameer vs Cloudera CDH
Struggling to choose between Datameer and Cloudera CDH? Both products offer unique advantages, making it a tough decision.
Datameer is a Ai Tools & Services solution with tags like data-analytics, business-intelligence, data-visualization, big-data.
It boasts features such as Drag-and-drop interface for data integration, Pre-built connectors for databases, Hadoop, cloud storage, etc, Data modeling, ETL, and data preparation capabilities, Visualization and dashboarding, Collaboration tools for sharing insights, Support for big data platforms like Hadoop and Spark, Scalable to handle large datasets, REST APIs and SDKs for custom development, Governance features like data lineage, security, and access controls and pros including Intuitive visual interface, Broad connectivity to data sources, Strong data preparation and ETL functionality, Scales to large data volumes, Collaboration features help share insights, Can leverage Hadoop and other big data platforms.
On the other hand, Cloudera CDH is a Ai Tools & Services product tagged with hadoop, hdfs, yarn, spark, hive, hbase, impala, kudu.
Its standout features include HDFS - Distributed and scalable file system, YARN - Cluster resource management, MapReduce - Distributed data processing, Hive - SQL interface for querying data, HBase - Distributed column-oriented database, Impala - Massively parallel SQL query engine, Spark - In-memory cluster computing framework, Kudu - Fast analytics on fast data, Cloudera Manager - Centralized management and monitoring, and it shines with pros like Open source and free to use, Includes many popular Hadoop ecosystem projects, Centralized management and monitoring, Pre-configured and tested combinations of components, Active development and support from Cloudera.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Datameer
Datameer is a data analytics and business intelligence platform that enables organizations to integrate, analyze, and visualize large datasets from multiple sources. It supports big data technologies like Hadoop, Spark, and cloud platforms for scalable data analytics.
Categories:
Datameer Features
- Drag-and-drop interface for data integration
- Pre-built connectors for databases, Hadoop, cloud storage, etc
- Data modeling, ETL, and data preparation capabilities
- Visualization and dashboarding
- Collaboration tools for sharing insights
- Support for big data platforms like Hadoop and Spark
- Scalable to handle large datasets
- REST APIs and SDKs for custom development
- Governance features like data lineage, security, and access controls
Pricing
- Subscription-Based
Pros
Cons
Cloudera CDH
Cloudera CDH (Cloudera Distribution Including Apache Hadoop) is an open source data platform that combines Hadoop ecosystem components like HDFS, YARN, Spark, Hive, HBase, Impala, Kudu, and more into a single managed platform.
Categories:
Cloudera CDH Features
- HDFS - Distributed and scalable file system
- YARN - Cluster resource management
- MapReduce - Distributed data processing
- Hive - SQL interface for querying data
- HBase - Distributed column-oriented database
- Impala - Massively parallel SQL query engine
- Spark - In-memory cluster computing framework
- Kudu - Fast analytics on fast data
- Cloudera Manager - Centralized management and monitoring
Pricing
- Open Source
- Subscription-Based (Cloudera Enterprise)