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Apache Flink VS Workato

Compare Apache Flink VS Workato and see what are their differences

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Apache Flink logo Apache Flink

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

Workato logo Workato

Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a “Cool Vendor in Social Software and Collaboration”.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Workato Landing page
    Landing page //
    2023-09-16

Apache Flink videos

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GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Workato videos

+ Add

Webinar Series by Workato | Introduction to Workato (Main)

More videos:

  • Review - Workato Product Updates - February 2020
  • Review - Vijay Tella, Workato CEO: Welcome to the New Era of Automation

Category Popularity

0-100% (relative to Apache Flink and Workato)

Apache Flink

Workato

Big Data
100 100%
Big Data
0% 0
Data Integration
0 0%
Data Integration
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100

User comments

Share your experience with using Apache Flink and Workato. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Flink and Workato

Apache Flink Reviews

We have no reviews of Apache Flink yet.
Be the first one to post

Workato Reviews

Top 15 MuleSoft Competitors and Alternatives
Workato is a leader in enterprise automation that provides a no-code platform for automating business workflows. In Aug 2022, Workato was named to the Forbes Cloud 100 list. The company serves over 17,000 brands, including Broadcom, Intuit, and Box. [5]
Source: bstrategyhub.com
Top 9 MuleSoft Alternatives & Competitors in 2024
From ticketing systems and monitoring tools to cloud services and databases, Workato seamlessly integrates with a wide range of applications. This ensures smooth information flow across your IT ecosystem. By leveraging Workato, you can focus on strategic initiatives, enhance service delivery, and achieve operational excellence.
Source: www.zluri.com
7 Best Zapier Alternatives to Meet Your Integration Needs
Zapier’s pricing, while high, is more justifiable than Workato’s. Workato doesn’t make its pricing information public to begin with. Workato compels the buyers to go through its sales and demo process to give them custom pricing.
Source: www.linkedin.com
Zapier: The $5B unbundling opportunity
Workato and Integromat are working on “Zapier for Business” with features like SOC2-compliance, role-based-authentication, and on-premises support.
Source: www.georgesequeira.com
15 Great Zapier Alternatives to Automate your Workflows
Trusted by renowned brands like Slack, Levi's, Zendesk, and Intuit, Workato is one of the biggest players in the automation field, and is a great option for those who can afford the hefty price tag.
Source: paperform.co

Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 27 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 Flink mentions (27)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 14 days ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 2 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
    Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 4 months ago
View more

Workato mentions (0)

We have not tracked any mentions of Workato yet. Tracking of Workato recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Flink and Workato, 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.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

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