Cloudera CDH vs Greenplum HD

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

Cloudera CDH is a Ai Tools & Services solution with tags like hadoop, hdfs, yarn, spark, hive, hbase, impala, kudu.

It boasts features such as 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 pros including 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.

On the other hand, Greenplum HD is a Ai Tools & Services product tagged with analytics, big-data, postgresql, parallel-processing.

Its standout features include Massively parallel processing (MPP) architecture, Column-oriented storage, In-database analytics, In-database Python programming, SQL support, Hadoop integration, Cloud-native deployment, and it shines with pros like Fast query performance on large datasets, Scales to petabyte-scale data volumes, Flexible deployment options - on-prem or cloud, Opensource and free to use, Supports standard SQL, Integrates with Hadoop ecosystem.

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.

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


Greenplum HD

Greenplum HD

Greenplum HD is an open-source data analytics platform that enables fast processing of big data workloads. It is based on PostgreSQL and provides massively parallel processing capabilities for analytics queries across large data volumes.

Categories:
analytics big-data postgresql parallel-processing

Greenplum HD Features

  1. Massively parallel processing (MPP) architecture
  2. Column-oriented storage
  3. In-database analytics
  4. In-database Python programming
  5. SQL support
  6. Hadoop integration
  7. Cloud-native deployment

Pricing

  • Open Source
  • Free

Pros

Fast query performance on large datasets

Scales to petabyte-scale data volumes

Flexible deployment options - on-prem or cloud

Opensource and free to use

Supports standard SQL

Integrates with Hadoop ecosystem

Cons

Complex installation and configuration

Requires expertise to tune and optimize

Limited ecosystem compared to commercial options

Not fully managed like cloud data warehouses