Software Alternatives, Accelerators & Startups

Apache Flink VS Jitterbit

Compare Apache Flink VS Jitterbit and see what are their differences

Apache Flink logo Apache Flink

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

Jitterbit logo Jitterbit

Jitterbit is an open source integration software that helps businesses connect applications, data and systems.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Jitterbit Landing page
    Landing page //
    2023-06-21

Apache Flink videos

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

Jitterbit videos

Introduction to Jitterbit - The Smarter Approach to Integration

More videos:

  • Demo - Jitterbit Harmony 2-minute demo overview
  • Review - Jitterbit Cloud Data Loader for Salesforce

Category Popularity

0-100% (relative to Apache Flink and Jitterbit)
Big Data
100 100%
0% 0
Data Integration
0 0%
100% 100
Stream Processing
100 100%
0% 0
Web Service Automation
0 0%
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 Flink and Jitterbit

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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Jitterbit Reviews

Top 15 MuleSoft Competitors and Alternatives
Jitterbit provides the Jitterbit Harmony API platform and API360 to help companies connect SaaS, on-prem, and cloud apps and infuse intelligence into business processes. In Dec 2022, Jitterbit was named a Leader in G2 Grid Report for EDI and iPaaS for mid-market and enterprise organizations.
13 data integration tools: a comparative analysis of the top solutions
Jitterbit Harmony, the ETL part of the platform, stands out for features such as robust connectors for established enterprise-level solutions such as SAP, Oracle Netsuite and Microsoft Dynamic. It also offers data auto-matching and cloud deployments for highly productive workflows.
Source: blog.n8n.io
Best iPaaS Softwares
Jitterbit is dedicated to accelerating innovation for our customers by combining the power of APIs, integration and artificial intelligence. Using the Jitterbit API integration platform companies can rapidly connect SaaS, on-premise and cloud applications and instantly infuse artificial intelligence into any business process. Our intuitive API creation technology enables...
Source: iotbyhvm.ooo
The 28 Best Data Integration Tools and Software for 2020
Description: Jitterbit offers cloud data integration and API transformation capabilities. The company’s main product, Jitterbit Harmony, allows organizations to design, deploy, and manage the entire integration lifecycle. The platform features a graphical interface for guided drag-and-drop configuration, integration via pre-built templates, and the ability to infuse...
15 Awesome Data Integration Vendors
Jitterbit helps you to simplify the complexity of data integrations so that you can better utilize information for business intelligence. Jitterbit offers an easy-to-use visual interface and wizard-driven tools so that even a business analyst can design, deploy and manage data integrations. Jitterbit provides its users with ETL and data integration solutions. Jitterbit also...
Source: www.youredi.com

Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 30 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 (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 3 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 23 days ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
  • 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 / 2 months 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 / 4 months ago
View more

Jitterbit mentions (0)

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

What are some alternatives?

When comparing Apache Flink and Jitterbit, 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.

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.

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

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

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

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