Sense Platform vs Cloudera CDH

Struggling to choose between Sense Platform and Cloudera CDH? Both products offer unique advantages, making it a tough decision.

Sense Platform is a Business & Commerce solution with tags like open-source, data-analysis, data-visualization.

It boasts features such as Drag-and-drop interface for building dashboards, Connects to various data sources like databases, cloud apps, files, Has a library of customizable widgets like charts, grids, maps, Supports real-time data streams and alerts, Has data modeling, ETL, and machine learning capabilities, Can create automated reports and distribute via email, Access control and user management, APIs for integration with other apps and pros including Free and open source, Intuitive visual interface, Connects to many data sources, Powerful analytics and ML capabilities, Can be self-hosted on premises, Active community support.

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.

Sense Platform

Sense Platform

Sense Platform is an open-source business intelligence and analytics platform. It provides tools for data integration, analysis, and visualization to help understand and extract insights from data.

Categories:
open-source data-analysis data-visualization

Sense Platform Features

  1. Drag-and-drop interface for building dashboards
  2. Connects to various data sources like databases, cloud apps, files
  3. Has a library of customizable widgets like charts, grids, maps
  4. Supports real-time data streams and alerts
  5. Has data modeling, ETL, and machine learning capabilities
  6. Can create automated reports and distribute via email
  7. Access control and user management
  8. APIs for integration with other apps

Pricing

  • Open Source
  • Free Community Edition
  • Paid Enterprise Edition

Pros

Free and open source

Intuitive visual interface

Connects to many data sources

Powerful analytics and ML capabilities

Can be self-hosted on premises

Active community support

Cons

Steep learning curve

Limited prebuilt connectors

Not as scalable as commercial BI tools

Lacks some advanced features like pixel-perfect dashboards

Not optimized for mobile viewing


Cloudera CDH

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:
hadoop hdfs yarn spark hive hbase impala kudu

Cloudera CDH Features

  1. HDFS - Distributed and scalable file system
  2. YARN - Cluster resource management
  3. MapReduce - Distributed data processing
  4. Hive - SQL interface for querying data
  5. HBase - Distributed column-oriented database
  6. Impala - Massively parallel SQL query engine
  7. Spark - In-memory cluster computing framework
  8. Kudu - Fast analytics on fast data
  9. Cloudera Manager - Centralized management and monitoring

Pricing

  • Open Source
  • Subscription-Based (Cloudera Enterprise)

Pros

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

Cons

Can be complex to configure and manage

Requires dedicated hardware/cluster

Steep learning curve for Hadoop and related technologies

Not as flexible as rolling your own Hadoop distribution