Platfora vs Cloudera CDH

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

Platfora is a Ai Tools & Services solution with tags like big-data, analytics, visualization, exploration.

It boasts features such as Visual analysis of large datasets, Ad-hoc querying, Data discovery, Data visualization, Collaboration tools and pros including Intuitive visual interface, Fast querying of large datasets, Easy data exploration, Integrates with Hadoop ecosystem, Can handle variety of data formats.

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.

Platfora

Platfora

Platfora is a big data analytics software that specializes in interactive visual analysis of large datasets. It allows users to visualize and explore big data to gain actionable insights.

Categories:
Ai Tools & Services Data Analytics
big-data analytics visualization exploration

Platfora Features

  1. Visual analysis of large datasets
  2. Ad-hoc querying
  3. Data discovery
  4. Data visualization
  5. Collaboration tools

Pricing

  • Subscription-Based

Pros

Intuitive visual interface

Fast querying of large datasets

Easy data exploration

Integrates with Hadoop ecosystem

Can handle variety of data formats

Cons

Limited advanced analytics capabilities

Steep learning curve

Requires Hadoop infrastructure

Not ideal for non-technical users

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:
Ai Tools & Services Big Data Platforms
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