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Apache Storm VS Talend Data Integration

Compare Apache Storm VS Talend Data Integration and see what are their differences

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Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.

Talend Data Integration logo Talend Data Integration

Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Talend Data Integration Landing page
    Landing page //
    2023-03-30

Apache Storm features and specs

  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages of Apache Storm

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

Talend Data Integration features and specs

  • Comprehensive Toolset
    Talend Data Integration provides a broad range of data integration tools and functionalities that support ETL (Extract, Transform, Load) processes, data quality, and data governance.
  • Open Source Availability
    Talend offers an open-source version that allows users to explore its functionalities without any initial investment, which is ideal for small businesses or developers.
  • Scalability
    The platform is highly scalable, accommodating both small-scale projects and large enterprise-level data integration workflows.
  • Easy to Use Interface
    It features a user-friendly, drag-and-drop interface that simplifies the creation of data integration workflows.
  • Cloud-Native
    Talend is built to integrate seamlessly with cloud platforms, supporting various cloud data warehouses and services like AWS, Azure, and Google Cloud.
  • Real-Time Data Processing
    Talend provides robust support for real-time data processing, which is essential for modern data-driven applications and analytics.
  • Extensive Connectivity
    Talend offers extensive connectivity options, allowing integration with a wide range of databases, applications, and file formats.

Possible disadvantages of Talend Data Integration

  • Complexity for Beginners
    While powerful, the extensive feature set can be overwhelming for beginners, necessitating a steep learning curve.
  • Performance Issues
    Some users report performance issues when dealing with large volumes of data, which may necessitate optimization and fine-tuning.
  • Cost
    Although an open-source version is available, the enterprise version, which includes advanced features, can be quite expensive.
  • Resource-Intensive
    The platform can be resource-intensive, requiring significant computational power and memory, which could be a concern for organizations with limited IT resources.
  • Limited Community Support
    Compared to other open-source data integration tools, Talend has a smaller community, which can limit the availability of community-driven support and resources.
  • Frequent Updates
    Talend frequently updates its software, which can sometimes disrupt workflows or require continuous adaptation and reconfiguration.

Apache Storm videos

+ Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Talend Data Integration videos

+ Add

Joining Data Sources: Talend Data Integration Certificate Lesson3

Category Popularity

0-100% (relative to Apache Storm and Talend Data Integration)

Apache Storm

Talend Data Integration

Big Data
100 100%
Big Data
0% 0
Data Integration
0 0%
Data Integration
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
ETL
0 0%
ETL
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Storm and Talend Data Integration

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

Talend Data Integration Reviews

10 Best ETL Tools (October 2023)
An open-source ELT (extract, load, transform) data integration platform, Stitch is one more excellent choice. Similar to Talend, Stitch offers paid service tiers for more advanced use cases and larger numbers of data sources. Stitch was actually acquired by Talend in 2018.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Stitch Data is an efficient, cloud-based ETL platform that enables businesses to seamlessly transfer their structured and unstructured data from various sources into data warehouses and data lakes. It provides tools for transforming data within the data warehouse or via external engines like Spark and MapReduce. As a part of Talend Data Fabric, Stitch Data focuses on...
Source: estuary.dev
Top 14 ETL Tools for 2023
While some users will find the open-source version of Talend (Talend Open Studio) sufficient, larger enterprises will likely prefer Talend’s paid Data Integration platform. This version of Talend includes additional tools and features for design, productivity, management, monitoring, business intelligence, and data governance.
Source: www.integrate.io
Top 10 Fivetran Alternatives - Listing the best ETL tools
Next up on the list is Talend’s data integration tool, one piece of the broader Talend Data Fabric platform. Talend’s complete software is a robust data solution that goes beyond data integration to also encompass data quality management, data integrity and governance, application and API integration, and more.
Source: weld.app
13 data integration tools: a comparative analysis of the top solutions
Talend Data Fabric aims to be a one-stop solution for all data integration and data quality monitoring needs. As an OData compliant tool, it allows for the creation of proprietary company level APIs, making integration with other software systems straightforward and efficient. Talend provides a comprehensive solution by offering powerful data management tools as well as...
Source: blog.n8n.io

Social recommendations and mentions

Based on our record, Apache Storm seems to be more popular. It has been mentiond 11 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.

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago
View more

Talend Data Integration mentions (0)

We have not tracked any mentions of Talend Data Integration yet. Tracking of Talend Data Integration recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Storm and Talend Data Integration, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Matillion - Matillion is a cloud-based data integration software.

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

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

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