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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. CDAP vs Talend

CDAP vs Talend

OverviewDecisionsComparisonAlternatives

Overview

CDAP
CDAP
Stacks41
Followers108
Votes0
Talend
Talend
Stacks297
Followers249
Votes0

CDAP vs Talend: What are the differences?

# CDAP vs. Talend

<Write Introduction here>

1. **Integration Capabilities**: CDAP focuses on providing a platform for integrating various data sources and processing pipelines, while Talend's main strength lies in data integration and ETL (Extract, Transform, Load) processes.
2. **Scalability**: CDAP is designed to be highly scalable, capable of handling large volumes of data and processing workloads at scale, compared to Talend which may have limitations in scalability for certain use cases.
3. **Open Source vs. Commercial**: CDAP is an open-source platform, offering more flexibility for developers to customize and extend its functionalities, whereas Talend is a commercial solution with additional support and more advanced features in its paid versions.
4. **Programming Languages**: CDAP supports multiple programming languages for developing data pipelines, such as Java, Scala, and Python, while Talend primarily focuses on using its own graphical interface for designing data integration processes.
5. **Deployment Flexibility**: CDAP provides flexibility in deploying applications on various cloud platforms and on-premises environments, whereas Talend may have more constraints in terms of deployment options and configurations.
6. **Community and Support**: CDAP benefits from a vibrant open-source community contributing to its development and support, whereas Talend offers dedicated customer support and professional services for its users.

In Summary, CDAP and Talend differ in their integration capabilities, scalability, licensing model, programming language support, deployment flexibility, and level of community support.

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Advice on CDAP, Talend

karunakaran
karunakaran

Consultant

Jun 26, 2020

Needs advice

I am trying to build a data lake by pulling data from multiple data sources ( custom-built tools, excel files, CSV files, etc) and use the data lake to generate dashboards.

My question is which is the best tool to do the following:

  1. Create pipelines to ingest the data from multiple sources into the data lake
  2. Help me in aggregating and filtering data available in the data lake.
  3. Create new reports by combining different data elements from the data lake.

I need to use only open-source tools for this activity.

I appreciate your valuable inputs and suggestions. Thanks in Advance.

80.4k views80.4k
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Detailed Comparison

CDAP
CDAP
Talend
Talend

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.

It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.

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
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Statistics
Stacks
41
Stacks
297
Followers
108
Followers
249
Votes
0
Votes
0
Integrations
Hadoop
Hadoop
No integrations available

What are some alternatives to CDAP, Talend?

Apache Spark

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

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

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

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

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

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

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

Splunk

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

Apache Impala

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

Vertica

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

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