AWS Glue vs Talend

Overview

Talend

Stacks297

Followers249

Votes0

AWS Glue

Stacks461

Followers819

Votes9

AWS Glue vs Talend: What are the differences?

1. Data Integration Capabilities: AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load data for analytics, while Talend is an open-source data integration tool. AWS Glue provides built-in capabilities for data integration, including data extraction, transformation, and loading in a scalable and cost-effective manner. Talend, on the other hand, offers a wide range of data integration capabilities, including data profiling, quality management, and master data management.
2. Cloud Native vs. On-Premises: AWS Glue is a cloud-native service that runs entirely in the AWS Cloud, utilizing AWS resources and services. This means that there is no need to manage any infrastructure or hardware, and scalability is handled automatically. Talend can be installed both on-premises and in the cloud. It provides flexibility in choosing where to run the data integration processes, allowing users to deploy it according to their specific requirements.
3. Cost Model: AWS Glue follows a pay-as-you-go pricing model, where users pay only for the resources and services they consume. The pricing is based on the data processing and data catalog usage. Talend, being an open-source solution, offers its community edition for free, but also provides enterprise editions with additional features and support, which have a licensing cost associated with them.
4. Scalability and Performance: AWS Glue is designed to handle large-scale data processing and can automatically scale resources based on the demand. It can process data in parallel and provides optimizations for performance. Talend also offers scalability, but it requires manual configuration and resource allocation to handle large datasets or increased processing demands.
5. Automatic Data Catalog: AWS Glue provides a centralized data catalog where metadata information is stored and can be easily accessed. It automatically crawls and catalogs various data sources, making it simple to discover, understand, and manage the data. Talend also offers data cataloging capabilities, but it requires manual configuration and setup to create and maintain the data catalog.
6. Integration with AWS Services: AWS Glue seamlessly integrates with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon Athena. This allows for easy data ingestion, transformation, and analysis with native AWS services. Talend provides integrations with various databases, file systems, and cloud platforms, but may require additional configuration and setup to work with AWS services.

In Summary, AWS Glue and Talend differ in their data integration capabilities, deployment models, cost models, scalability and performance, data cataloging features, and integration with AWS services.

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Advice on Talend, AWS Glue

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

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:

Create pipelines to ingest the data from multiple sources into the data lake
Help me in aggregating and filtering data available in the data lake.
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

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

Talend	AWS Glue
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.	A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
-	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 297	Stacks 461
Followers 249	Followers 819
Votes 0	Votes 9
Pros & Cons
No community feedback yet	Pros 9 Managed Hive Metastore
Integrations
No integrations available	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 Talend, 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 Talend: What are the differences?

1. Data Integration Capabilities: AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load data for analytics, while Talend is an open-source data integration tool. AWS Glue provides built-in capabilities for data integration, including data extraction, transformation, and loading in a scalable and cost-effective manner. Talend, on the other hand, offers a wide range of data integration capabilities, including data profiling, quality management, and master data management.
2. Cloud Native vs. On-Premises: AWS Glue is a cloud-native service that runs entirely in the AWS Cloud, utilizing AWS resources and services. This means that there is no need to manage any infrastructure or hardware, and scalability is handled automatically. Talend can be installed both on-premises and in the cloud. It provides flexibility in choosing where to run the data integration processes, allowing users to deploy it according to their specific requirements.
3. Cost Model: AWS Glue follows a pay-as-you-go pricing model, where users pay only for the resources and services they consume. The pricing is based on the data processing and data catalog usage. Talend, being an open-source solution, offers its community edition for free, but also provides enterprise editions with additional features and support, which have a licensing cost associated with them.
4. Scalability and Performance: AWS Glue is designed to handle large-scale data processing and can automatically scale resources based on the demand. It can process data in parallel and provides optimizations for performance. Talend also offers scalability, but it requires manual configuration and resource allocation to handle large datasets or increased processing demands.
5. Automatic Data Catalog: AWS Glue provides a centralized data catalog where metadata information is stored and can be easily accessed. It automatically crawls and catalogs various data sources, making it simple to discover, understand, and manage the data. Talend also offers data cataloging capabilities, but it requires manual configuration and setup to create and maintain the data catalog.
6. Integration with AWS Services: AWS Glue seamlessly integrates with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon Athena. This allows for easy data ingestion, transformation, and analysis with native AWS services. Talend provides integrations with various databases, file systems, and cloud platforms, but may require additional configuration and setup to work with AWS services.

AWS Glue vs Talend

Overview