Software Alternatives & Reviews

Oracle Data Integrator VS Apache Flink

Compare Oracle Data Integrator VS Apache Flink and see what are their differences

Oracle Data Integrator logo Oracle Data Integrator

Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • Oracle Data Integrator Landing page
    Landing page //
    2023-07-29
  • Apache Flink Landing page
    Landing page //
    2023-10-03

Oracle Data Integrator videos

What is Oracle Data Integrator?

More videos:

  • Review - Oracle Data Integrator 12c Overview
  • Review - Oracle Data Integrator Review (Real User: Michael Rainey)

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

Category Popularity

0-100% (relative to Oracle Data Integrator and Apache Flink)
Data Integration
100 100%
0% 0
Big Data
0 0%
100% 100
ETL
100 100%
0% 0
Stream Processing
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 Oracle Data Integrator and Apache Flink

Oracle Data Integrator Reviews

10 Best ETL Tools (October 2023)
Oracle Data Integrator offers both on-premises and cloud versions. One of the more unique aspects of ODI is that it supports ETL workloads, which can prove helpful for many users. It is a more bare-bones tool than some of the others on the list.
Source: www.unite.ai
Top 14 ETL Tools for 2023
Oracle Data Integrator (ODI) is a comprehensive data integration solution that's part of Oracle’s data management ecosystem. This makes the platform a smart choice for current users of other Oracle applications, such as Hyperion Financial Management and Oracle E-Business Suite (EBS). ODI comes in both on-premises and cloud versions (the latter offering is Oracle Data...
15 Best ETL Tools in 2022 (A Complete Updated List)
Oracle Data Integrator (ODI) is a graphical environment to build and manage data integration. This product is suitable for large organizations which have frequent migration requirement. It is a comprehensive data integration platform which supports high volume data, SOA enabled data services.
Top 7 ETL Tools for 2021
Oracle Data Integrator (ODI) is a comprehensive data integration solution that is part of Oracle’s data management ecosystem. This makes the platform a smart choice for current users of other Oracle applications, such as Hyperion Financial Management and Oracle E-Business Suite (EBS). ODI comes in both on-premises and cloud versions (the latter offering is referred to as...
Source: www.xplenty.com
15 Awesome Data Integration Vendors
The Oracle Data Integrator is a comprehensive data integration platform that provides solutions for all data integration requirements, such as integrating big data, handling batch processes, or SOA-enabled data services.
Source: www.youredi.com

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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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.

Oracle Data Integrator mentions (0)

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

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 / 24 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 / 3 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 / 5 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 / 5 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 / 5 months ago
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What are some alternatives?

When comparing Oracle Data Integrator and Apache Flink, you can also consider the following products

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

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

Bryteflow Data Replication and Integration - Bryteflow is a popular platform that offers many services, including data replication and integration.

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