Apache Flink vs Talend Data Streams comparison

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11,255 views|7,626 comparisons
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Executive Summary

We performed a comparison between Apache Flink and Talend Data Streams based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "This is an open-source platform that can be used free of charge."
  • "The solution is open-source, which is free."
  • "Apache Flink is open source so we pay no licensing for the use of the software."
  • "It's an open-source solution."
  • "It's an open source."
  • More Apache Flink Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product helps us to create both simple and complex data processing tasks. Over time, it has facilitated integration and navigation across multiple data sources tailored to each client's needs. We… more »
    Top Answer:Flink is free, it's open source. Flink is open source.
    Top Answer:Apache Flink should improve its data capability and data migration.
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    Ranking
    5th
    out of 38 in Streaming Analytics
    Views
    11,255
    Comparisons
    7,626
    Reviews
    7
    Average Words per Review
    423
    Rating
    7.7
    22nd
    out of 38 in Streaming Analytics
    Views
    453
    Comparisons
    423
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Flink
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    Overview

    Apache Flink is an open-source batch and stream data processing engine. It can be used for batch, micro-batch, and real-time processing. Flink is a programming model that combines the benefits of batch processing and streaming analytics by providing a unified programming interface for both data sources, allowing users to write programs that seamlessly switch between the two modes. It can also be used for interactive queries.

    Flink can be used as an alternative to MapReduce for executing iterative algorithms on large datasets in parallel. It was developed specifically for large to extremely large data sets that require complex iterative algorithms.

    Flink is a fast and reliable framework developed in Java, Scala, and Python. It runs on the cluster that consists of data nodes and managers. It has a rich set of features that can be used out of the box in order to build sophisticated applications.

    Flink has a robust API and is ready to be used with Hadoop, Cassandra, Hive, Impala, Kafka, MySQL/MariaDB, Neo4j, as well as any other NoSQL database.

    Apache Flink Features

    • Distributed execution of streaming programs on clusters of computers
    • Support for multiple data sources and sinks: this includes Hadoop file systems, databases, and other data sources
    • Streaming SQL query engine with support for windowing functions
    • Low latency query execution in milliseconds
    • Runs in a distributed fashion: it can be deployed on multiple machines or nodes to increase performance and reliability of data processing pipelines.
    • Powerful API that supports both batch and streaming applications
    • Runs on clusters of commodity hardware with minimal configuration
    • Can be integrated with other technologies, such as Apache Spark for complex data mining

    Apache Flink Benefits

    • Ease of use: Flink has an intuitive API and provides high-level abstractions for handling data streams. Even beginners in the field can work with the platform with ease.
    • Fault tolerance: Flink can automatically detect and recover from failures in the system.
    • Scalability: Flink scales to thousands of nodes. It can run on clusters of any size and the user does not have to worry about managing the cluster.

    Reviews from Real Users

    Apache Flink stands out among its competitors for a number of reasons. Two major ones are its low latency and its user-friendly interface. PeerSpot users take note of the advantages of these features in their reviews:

    The head of data and analytics at a computer software company notes, “The top feature of Apache Flink is its low latency for fast, real-time data. Another great feature is the real-time indicators and alerts which make a big difference when it comes to data processing and analysis.”

    Ertugrul A., manager at a computer software company, writes, “It's usable and affordable. It is user-friendly and the reporting is good.

    Talend Data Streams makes streaming data ingestion and integration easier, faster, and more accessible. Plus, Talend Data Streams is built to run completely in the cloud, so no installation is required.
    Sample Customers
    LogRhythm, Inc., Inter-American Development Bank, Scientific Technologies Corporation, LotLinx, Inc., Benevity, Inc.
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    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company17%
    Retailer6%
    Manufacturing Company5%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Insurance Company11%
    Manufacturing Company11%
    Company Size
    REVIEWERS
    Small Business19%
    Midsize Enterprise25%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Apache Flink is ranked 5th in Streaming Analytics with 15 reviews while Talend Data Streams is ranked 22nd in Streaming Analytics. Apache Flink is rated 7.6, while Talend Data Streams is rated 0.0. The top reviewer of Apache Flink writes "A great solution with an intricate system and allows for batch data processing". On the other hand, Apache Flink is most compared with Amazon Kinesis, Spring Cloud Data Flow, Databricks, Azure Stream Analytics and Apache Pulsar, whereas Talend Data Streams is most compared with Databricks, Google Cloud Dataflow, Starburst Galaxy and Cloudera DataFlow.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.