IConduct vs Informatica Data Engineering Streaming comparison

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Executive Summary

We performed a comparison between IConduct and Informatica Data Engineering Streaming based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Ranking
38th
Views
18
Comparisons
17
Reviews
0
Average Words per Review
0
Rating
N/A
21st
out of 38 in Streaming Analytics
Views
542
Comparisons
524
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Cloud Data Integration
March 2024
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
768,578 professionals have used our research since 2012.
Comparisons
Also Known As
Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
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IConduct
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Overview

Founded by Information Systems experts with decades of implementation and integration experience, IConduct was established to answer a real, everyday need.

After witnessing the decentralization of traditional Information Systems, and the increased complexity of business processes that lean more and more on "expert" applications, we saw the chaos and the need for simple integration, and created a solution that was business-focused and technologically enabled.

The IConduct Self Service Integration platform unifies all entities and attributes of all business applications into a single, web-based dashboard, that can operate as a cloud service, on-premise or hybrid solution. The platform supports all enterprise, legacy and cloud base business applications, and eliminates coding on both the source and target application. With a secured agent, full in-memory data handling, and active transaction monitoring, this integration platform provides best performance, ultimate security, and the confidence that all applications are communicating seamlessly and flawlessly.

Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

Sample Customers
Kenshoo, Allot, Kornit Digital, Cellebrite, TOSAF GROUP, Shamir Optics
Jewelry TV
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm17%
Computer Software Company16%
Manufacturing Company14%
Insurance Company7%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business23%
Midsize Enterprise9%
Large Enterprise69%
Buyer's Guide
Cloud Data Integration
March 2024
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
768,578 professionals have used our research since 2012.

IConduct is ranked 38th in Cloud Data Integration while Informatica Data Engineering Streaming is ranked 21st in Streaming Analytics. IConduct is rated 0.0, while Informatica Data Engineering Streaming is rated 0.0. On the other hand, IConduct is most compared with Ab Initio Co>Operating System and webMethods Integration Server, whereas Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and IBM InfoSphere DataStage.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud Data Integration 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.