Informatica Data Engineering Streaming vs Palantir Gotham comparison

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Informatica Logo
531 views|512 comparisons
100% willing to recommend
Palantir Logo
1,787 views|1,224 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"This solution is seamless. From one platform, we can do just about anything."

More Palantir Gotham Pros →

Cons
"Skill requirement is required. There is a learning curve."

More Informatica Data Engineering Streaming Cons →

"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

More Palantir Gotham Cons →

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772,679 professionals have used our research since 2012.
Ranking
15th
out of 39 in Streaming Analytics
Views
531
Comparisons
512
Reviews
1
Average Words per Review
305
Rating
8.0
33rd
out of 103 in Data Integration
Views
1,787
Comparisons
1,224
Reviews
1
Average Words per Review
279
Rating
8.0
Comparisons
Also Known As
Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
Learn More
Overview

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.

The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.

Sample Customers
Jewelry TV
Team Rubicon, CGI
Top Industries
VISITORS READING REVIEWS
Financial Services Firm18%
Computer Software Company15%
Manufacturing Company15%
Insurance Company7%
VISITORS READING REVIEWS
Government14%
Computer Software Company12%
University11%
Financial Services Firm11%
Company Size
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise10%
Large Enterprise68%
VISITORS READING REVIEWS
Small Business20%
Midsize Enterprise10%
Large Enterprise71%
Buyer's Guide
Streaming Analytics
May 2024
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics. Updated: May 2024.
772,679 professionals have used our research since 2012.

Informatica Data Engineering Streaming is ranked 15th in Streaming Analytics with 1 review while Palantir Gotham is ranked 33rd in Data Integration with 1 review. Informatica Data Engineering Streaming is rated 8.0, while Palantir Gotham is rated 8.0. The top reviewer of Informatica Data Engineering Streaming writes "Helps with real-time data processing and improves decision-making overall". On the other hand, the top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and Mule Anypoint Platform, whereas Palantir Gotham is most compared with Palantir Foundry, Stone Bond Enterprise Enabler and Azure Data Factory.

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.