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Amazon Redshift VS Cloudera CDH

Compare Amazon Redshift VS Cloudera CDH and see what are their differences

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Amazon Redshift logo Amazon Redshift

Learn about Amazon Redshift cloud data warehouse.

Cloudera CDH logo Cloudera CDH

Imagine what your business could do if all your data were collected in one centralized, secure, fully-governed place that any department could access anytime.
  • Amazon Redshift Landing page
    Landing page //
    2023-03-14
  • Cloudera CDH Landing page
    Landing page //
    2023-10-15

Amazon Redshift features and specs

  • Scalability
    Amazon Redshift allows you to scale your data warehouse up or down easily based on your needs with just a few clicks or by using the API, providing flexibility to handle varying workloads.
  • Performance
    Redshift uses columnar storage, parallel processing, and efficient data compression techniques to deliver high performance for complex queries and large datasets.
  • Integration
    It seamlessly integrates with various AWS services like S3, DynamoDB, and QuickSight, making it easier to build a comprehensive data ecosystem.
  • Cost-effective
    Redshift offers a pay-as-you-go pricing model with no upfront costs, and you can save more with reserved instances, making it cost-effective for many businesses.
  • Security
    It includes features like encryption, Virtual Private Cloud (VPC), and compliance certifications (such as SOC 1, SOC 2, SOC 3, and more) to ensure data security and compliance.
  • Managed Service
    Amazon Redshift is a fully managed service, so it takes care of managing, monitoring, and scaling the infrastructure, allowing you to focus on your data and insights.

Possible disadvantages of Amazon Redshift

  • Complexity
    Although Redshift is powerful, it can be complex to set up, configure, and optimize for best performance, requiring knowledge and experience in data warehousing.
  • Cost for Unused Resources
    While Redshift is cost-effective for large-scale operations, costs can add up quickly if resources are not managed properly, especially with long-running clusters that are under-utilized.
  • Maintenance Windows
    Despite being a managed service, maintenance windows and updates can occasionally lead to downtime or performance degradation, impacting availability.
  • Data Transfer Costs
    Transferring data in and out of Redshift can incur additional costs, particularly if large volumes of data are involved, which can affect overall budget planning.
  • Vendor Lock-in
    Using Amazon Redshift ties you to the AWS ecosystem, which could be a disadvantage if you are considering a multi-cloud strategy or planning to switch providers in the future.

Cloudera CDH features and specs

  • Integrated Platform
    Cloudera CDH provides a comprehensive suite of tools and services integrated into a single platform, which simplifies the deployment and management of big data solutions.
  • Scalability
    Cloudera CDH is designed to handle large-scale data storage and processing needs, making it suitable for enterprises dealing with vast amounts of data.
  • Security Features
    CDH offers robust security features, including Kerberos authentication, encryption, and fine-grained access controls to ensure data protection.
  • Support and Community
    Cloudera provides professional support and a large community of users, which helps solve problems quickly and allows for collaboration and knowledge sharing.
  • Comprehensive Toolset
    Includes a wide range of open-source tools such as Hadoop, Apache Spark, and Hive, enabling diverse analytics and data processing capabilities.

Possible disadvantages of Cloudera CDH

  • Complexity
    The platform can be complex to set up and manage, requiring skilled personnel to deploy and maintain effectively.
  • Cost
    While there is an open-source version, the enterprise features and support come at a significant cost, which might be prohibitive for smaller organizations.
  • Resource Intensive
    Cloudera CDH can be resource-intensive, requiring substantial computational power and storage capacities, which can lead to increased operational costs.
  • Steep Learning Curve
    New users or those not familiar with Hadoop ecosystems may find it challenging to learn and use the platform efficiently.
  • Vendor Lock-In
    Companies may face issues with vendor lock-in due to the proprietary extensions and tools provided by Cloudera, limiting flexibility.

Analysis of Amazon Redshift

Overall verdict

  • Amazon Redshift is generally considered a good solution for businesses seeking a robust, scalable, and cost-effective data warehousing service within the AWS cloud environment. However, its suitability may vary depending on specific organizational needs and workloads.

Why this product is good

  • Amazon Redshift is a popular data warehousing service within the AWS ecosystem, known for its scalability, ease of integration with other AWS services, and relatively low cost. It provides fast query performance for large datasets and offers features like columnar storage, parallel query execution, and advanced compression. These attributes make it an attractive choice for organizations looking to perform complex analytics and data processing tasks.

Recommended for

  • Organizations already utilizing AWS services and seeking seamless integration.
  • Businesses requiring scalable data warehousing at a competitive price.
  • Data-driven companies looking to perform fast, complex analytics on large datasets.
  • Teams needing flexible management options that can grow with their data storage needs.

Amazon Redshift videos

+ Add

Getting Started with Amazon Redshift - AWS Online Tech Talks

More videos:

  • Review - Amazon Redshift Materialized Views
  • Tutorial - Amazon Redshift Tutorial | Amazon Redshift Architecture | AWS Tutorial For Beginners | Simplilearn

Cloudera CDH videos

+ Add

Introduction

Category Popularity

0-100% (relative to Amazon Redshift and Cloudera CDH)

Amazon Redshift

Cloudera CDH

Databases
100 100%
Databases
0% 0
Big Data
76 76%
Big Data
24% 24
Data Warehousing
73 73%
Data Warehousing
27% 27
Data Management
100 100%
Data Management
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon Redshift and Cloudera CDH

Amazon Redshift Reviews

Data Warehouse Tools
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many data warehouse solutions, such as Peliqan, Amazon Redshift, and PostgreSQL, support SQL for querying and analyzing data within the data warehouse
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Coined in November 2021, Amazon Redshift was launched as a fully managed cloud data warehouse that can handle petabyte-scale data. While it was not the first cloud data warehouse, it became the first to proliferate in the market share after a large-scale adoption. Redshift uses SQL dialect based on PostgreSQL, which is well-known by many analysts globally, and its...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
As the most proven tool in this category, Amazon Redshift is a fully managed cloud-based data warehouse used to collect and store data. Like BigQuery, Redshift seamlessly integrates with multiple products and ETL services.
Source: blog.panoply.io

Cloudera CDH Reviews

We have no reviews of Cloudera CDH yet.
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Social recommendations and mentions

Based on our record, Amazon Redshift seems to be more popular. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Redshift mentions (29)

  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 2 months ago
  • Everyone Uses Postgres… But Why?
    Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / 7 months ago
  • From ETL and ELT to Reverse ETL
    With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / 9 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 1 year ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / over 1 year ago
View more

Cloudera CDH mentions (0)

We have not tracked any mentions of Cloudera CDH yet. Tracking of Cloudera CDH recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon Redshift and Cloudera CDH, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Ilum - Ilum is a free data lakehouse platform designed for scalability, flexibility, and simplicity.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

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