AWS Glue vs CDAP

Overview

CDAP

Stacks41

Followers108

Votes0

AWS Glue

Stacks461

Followers819

Votes9

AWS Glue vs CDAP: What are the differences?

Introduction Here we will discuss the key differences between AWS Glue and CDAP, two popular data integration and processing platforms.

Pricing Model: AWS Glue follows a pay-per-task pricing model where users only pay for the resources used during data processing tasks. CDAP, on the other hand, offers a subscription-based pricing model, allowing users to access all features and capabilities for a fixed fee.
Managed vs Self-Managed: AWS Glue is a fully managed service where Amazon takes care of infrastructure management, scalability, and maintenance. CDAP, in contrast, is a self-managed platform that requires users to set up and manage their own infrastructure, providing more flexibility and control.
Compatibility: AWS Glue is tightly integrated with other AWS services, allowing seamless data transfer and integration with services like Amazon S3 and Redshift. CDAP, on the other hand, supports a wide range of data sources including non-AWS systems, making it more versatile for organizations using diverse data systems.
Data Transformation Capabilities: AWS Glue provides extensive data transformation capabilities with built-in extract, transform, and load (ETL) functionality. CDAP, on the other hand, offers a more comprehensive set of data processing functionalities, including ETL, real-time streaming, batch processing, and more, making it suitable for complex data processing requirements.
Ecosystem Support: AWS Glue has a rich ecosystem of AWS services that can be easily integrated for various data processing tasks. CDAP, on the other hand, has a broader ecosystem with support for a wide range of third-party tools and services, enabling seamless integration and extensibility.
Security and Compliance: AWS Glue provides robust security features, including encryption of data at rest and in transit, fine-grained access control, and compliance with various industry standards. CDAP also offers similar security features, allowing organizations to meet their security and compliance requirements effectively.

In summary, AWS Glue offers a tightly-integrated, fully managed data processing service with extensive ETL capabilities, while CDAP provides a self-managed platform with a broader ecosystem and comprehensive data processing functionalities suitable for complex requirements.

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Advice on CDAP, AWS Glue

Aditya

Mar 13, 2021

Review

you can use aws glue service to convert you pipe format data to parquet format , and thus you can achieve data compression . Now you should choose Redshift to copy your data as it is very huge. To manage your data, you should partition your data in S3 bucket and also divide your data across the redshift cluster

220k views220k

Comments

Vamshi

Data Engineer at Tata Consultancy Services

May 29, 2020

Needs adviceon

PySpark

Azure Data Factory

Databricks

I have to collect different data from multiple sources and store them in a single cloud location. Then perform cleaning and transforming using PySpark, and push the end results to other applications like reporting tools, etc. What would be the best solution? I can only think of Azure Data Factory + Databricks. Are there any alternatives to #AWS services + Databricks?

269k views269k

Comments

datocrats-org

Jul 29, 2020

Needs adviceon

Amazon EC2

Tableau

PowerBI

We need to perform ETL from several databases into a data warehouse or data lake. We want to

keep raw and transformed data available to users to draft their own queries efficiently
give users the ability to give custom permissions and SSO
move between open-source on-premises development and cloud-based production environments

We want to use inexpensive Amazon EC2 instances only on medium-sized data set 16GB to 32GB feeding into Tableau Server or PowerBI for reporting and data analysis purposes.

319k views319k

Comments

Detailed Comparison

CDAP	AWS Glue
Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.	A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
Streams for data ingestion;Reusable libraries for common Big Data access patterns;Data available to multiple applications and different paradigms;Framework level guarantees;Full development lifecycle and production deployment;Standardization of applications across programming paradigms	Easy - AWS Glue automates much of the effort in building, maintaining, and running ETL jobs. AWS Glue crawls your data sources, identifies data formats, and suggests schemas and transformations. AWS Glue automatically generates the code to execute your data transformations and loading processes.; Integrated - AWS Glue is integrated across a wide range of AWS services.; Serverless - AWS Glue is serverless. There is no infrastructure to provision or manage. AWS Glue handles provisioning, configuration, and scaling of the resources required to run your ETL jobs on a fully managed, scale-out Apache Spark environment. You pay only for the resources used while your jobs are running.; Developer Friendly - AWS Glue generates ETL code that is customizable, reusable, and portable, using familiar technology - Scala, Python, and Apache Spark. You can also import custom readers, writers and transformations into your Glue ETL code. Since the code AWS Glue generates is based on open frameworks, there is no lock-in. You can use it anywhere.
Statistics
Stacks 41	Stacks 461
Followers 108	Followers 819
Votes 0	Votes 9
Pros & Cons
No community feedback yet	Pros 9 Managed Hive Metastore
Integrations
Hadoop	Amazon Redshift Amazon S3 Amazon RDS Amazon Athena MySQL Microsoft SQL Server Amazon EMR Amazon Aurora Oracle Amazon RDS for PostgreSQL

What are some alternatives to CDAP, AWS Glue?

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Vertica

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

Related Comparisons

AWS Glue vs CDAP: What are the differences?

Introduction Here we will discuss the key differences between AWS Glue and CDAP, two popular data integration and processing platforms.

Pricing Model: AWS Glue follows a pay-per-task pricing model where users only pay for the resources used during data processing tasks. CDAP, on the other hand, offers a subscription-based pricing model, allowing users to access all features and capabilities for a fixed fee.
Managed vs Self-Managed: AWS Glue is a fully managed service where Amazon takes care of infrastructure management, scalability, and maintenance. CDAP, in contrast, is a self-managed platform that requires users to set up and manage their own infrastructure, providing more flexibility and control.
Compatibility: AWS Glue is tightly integrated with other AWS services, allowing seamless data transfer and integration with services like Amazon S3 and Redshift. CDAP, on the other hand, supports a wide range of data sources including non-AWS systems, making it more versatile for organizations using diverse data systems.
Data Transformation Capabilities: AWS Glue provides extensive data transformation capabilities with built-in extract, transform, and load (ETL) functionality. CDAP, on the other hand, offers a more comprehensive set of data processing functionalities, including ETL, real-time streaming, batch processing, and more, making it suitable for complex data processing requirements.
Ecosystem Support: AWS Glue has a rich ecosystem of AWS services that can be easily integrated for various data processing tasks. CDAP, on the other hand, has a broader ecosystem with support for a wide range of third-party tools and services, enabling seamless integration and extensibility.
Security and Compliance: AWS Glue provides robust security features, including encryption of data at rest and in transit, fine-grained access control, and compliance with various industry standards. CDAP also offers similar security features, allowing organizations to meet their security and compliance requirements effectively.

AWS Glue vs CDAP

Overview