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  5. Pentaho Data Integration vs Talend

Pentaho Data Integration vs Talend

OverviewDecisionsComparisonAlternatives

Overview

Pentaho Data Integration
Pentaho Data Integration
Stacks112
Followers79
Votes0
Talend
Talend
Stacks297
Followers249
Votes0

Pentaho Data Integration vs Talend: What are the differences?

Introduction

Pentaho Data Integration and Talend are both popular data integration tools used in the industry. While they have similarities in terms of functionality, there are key differences that set them apart. In this article, we will explore the six major differences between Pentaho Data Integration and Talend.

  1. Usability: Pentaho Data Integration offers a more user-friendly and intuitive interface, making it easier for users to navigate and perform tasks. On the other hand, Talend has a steeper learning curve and may require more technical expertise to fully utilize its features.

  2. Community Support: Pentaho Data Integration has a larger and more active community of users, which means there are more resources, tutorials, and forums available for support and troubleshooting. Talend, while also having a strong community, may not have as extensive resources as Pentaho.

  3. Integration Capabilities: Pentaho Data Integration is known for its powerful data integration capabilities, allowing users to easily extract, transform, and load data from a variety of sources. Talend, on the other hand, offers a broader range of integration options, including support for cloud platforms and big data technologies.

  4. Scalability: Pentaho Data Integration is more suitable for small to medium-sized projects, as it may become slower and less efficient when dealing with large volumes of data. Talend, on the other hand, can handle large-scale data integration projects more effectively and is known for its scalability.

  5. Enterprise Features: Pentaho Data Integration offers enterprise-level features, such as advanced data governance, data lineage, and data quality capabilities. Talend, while also providing some enterprise features, may not have the same level of depth and maturity as Pentaho.

  6. Cost: While both Pentaho Data Integration and Talend have open-source versions available, there may be differences in the pricing for their enterprise versions. Organizations should consider their budget and specific requirements when choosing between the two.

In summary, Pentaho Data Integration and Talend have distinct differences in terms of usability, community support, integration capabilities, scalability, enterprise features, and cost. Organizations should evaluate these factors to determine which tool best fits their needs.

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Advice on Pentaho Data Integration, 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.

80.5k views80.5k
Comments

Detailed Comparison

Pentaho Data Integration
Pentaho Data Integration
Talend
Talend

It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

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.

Statistics
Stacks
112
Stacks
297
Followers
79
Followers
249
Votes
0
Votes
0

What are some alternatives to Pentaho Data Integration, 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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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.

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