Informatica Data Engineering Streaming [EOL] vs Starburst Enterprise comparison

Informatica and Starburst are both solutions in the Streaming Analytics category. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming [EOL] review

100% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

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856 Comparison Views

100% willing to recommend

Informatica Data Engineerin...

Starburst Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 11, 2025

Informatica Data Engineering Streaming [EOL] and Starburst Enterprise compete in the data management and analytics space. Starburst Enterprise holds the upper hand due to its comprehensive features and perceived value.

Features: Informatica Data Engineering Streaming [EOL] offers data integration capabilities, real-time streaming support, and is favored for its existing support satisfaction. Starburst Enterprise is recognized for its advanced query engine, support for multiple data sources, and high-performance analytics.

Ease of Deployment and Customer Service: Informatica provides a straightforward deployment experience with accessible customer support. Starburst offers robust support and flexible deployment options that cater to varying business needs.

Pricing and ROI: Informatica features lower initial setup costs with quick ROI realization. Starburst, although requiring a higher initial investment, is justified by its high-value return and longer-term gains, providing a better perceived ROI.

To learn more, read our detailed Streaming Analytics Report (Updated: January 2026).

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Streaming Analytics

January 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Informatica Data Engineerin...

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Enterprise

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Science Platforms (12th), Streaming Analytics (16th)

Featured Reviews

Reviewer43443

BI Practice Lead at a tech services company with 51-200 employees

Helps with real-time data processing and improves decision-making overall

It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data warehouse from your source, transforming the data, and preparing and modeling it into some desired format. It improves the performance. You need to know how to use it and how to implement it, but it improves performance.

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KamleshPant

Senior Software Architect at USEReady

Connects to any data source from any region and offers unified access

There are no specific projects supported by Starburst regarding AI initiatives or machine learning projects. In the future, if we have all the data available, we can definitely capitalize on AI/ML and LLM capabilities to summarize data and gain insights. That's our future goal, but we haven't reached that point yet. There should be support for REST API data sources to access data from the web. We often have data coming in and communicate with data sources via REST API calls. I don't see that capability in Starburst currently; everything is through JDBC or ODBC. If Starburst could seamlessly access data using REST API capabilities, it would be a game-changer. The self-service data management features, like self-service materialized views, are great, but they can be a bit complex for basic users to understand.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It improves the performance."

"We have noticed improvements in performance using Starburst Enterprise. It handles complex data, including reading and partitioning files. We can add a new catalog to Starburst Enterprise by providing connection details and service account information. This allows us to integrate with existing tools, such as the Snowflake database, which we use for data protection in our project."

"It's very scalable, fast performing, and supports many catalogs."

Cons

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

"Starburst Enterprise could improve by offering additional features similar to those provided by other SQL query tools. For example, incorporating functionalities like pivot tables would make it more feasible to use."

"There should be support for REST API data sources to access data from the web."

Pricing and Cost Advice

Information not available

"I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of using Starburst Enterprise can vary based on the amount of data you're processing and the type of machines you opt for, whether on AWS or another cloud platform."

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

Retailer

Media Company

Financial Services Firm

39%

Computer Software Company

Government

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Informatica Data Engineering Streaming?

Skill requirement is required. There is a learning curve.

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What is your primary use case for Informatica Data Engineering Streaming?

We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.

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What advice do you have for others considering Informatica Data Engineering Streaming?

Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...

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What is your experience regarding pricing and costs for Starburst Enterprise?

I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of us...

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What needs improvement with Starburst Enterprise?

See all answers

What is your primary use case for Starburst Enterprise?

We use Starburst with one client who is exploring their ecosystem to remove data silos and enable data access across departments. It's a very big ecosystem, like a finance institute. They are curre...

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Actian DataConnect vs Informatica Data Engineering Streaming [EOL]

Compared 6% of the time

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Compared 37% of the time

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Compared 17% of the time

Dremio vs Starburst Enterprise

Compared 14% of the time

Apache Flink vs Starburst Enterprise

Compared 7% of the time

Apache Spark Streaming vs Starburst Enterprise

Compared 6% of the time

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Product Reports

Buyer's Guide

Streaming Analytics

January 2026

Informatica Data Engineering Streaming [EOL] report

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Buyer's Guide

Data Science Platforms

January 2026

Download Starburst Enterprise product report

Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

No data available

Overview

Informatica Data Engineering Streaming [EOL] is a real-time streaming data processing platform that enables organizations to efficiently leverage continuous data insights from large volumes of diverse data sources.

Informatica Data Engineering Streaming [EOL] offers advanced capabilities for processing streaming data, enabling businesses to harness and analyze information as it's generated. It supports scalability and provides high-performance processing essential for data-driven decision-making. This platform empowers dynamic adaptation to ever-evolving data needs, ensuring timely insights.

What are the key features of Informatica Data Engineering Streaming [EOL]?

Scalability: Designed to handle large data volumes with optimized performance.
Seamless Integration: Connects effortlessly with multiple data sources and destinations.
Real-Time Processing: Enables immediate analysis of streaming data as it arrives.
Data Connectivity: Supports a wide range of connectors for enhanced flexibility.
Fault Tolerance: Ensures consistent operation despite hardware failures.

What benefits should users consider in reviews?

Enhanced Efficiency: Streamlines data processing workflows for faster results.
Cost Savings: Reduces infrastructure and operational costs by optimizing resources.
Improved Decision-Making: Provides timely insights for informed business strategies.
Increased Agility: Adapts quickly to changes in data streams and analytics requirements.

In specific industries, Informatica Data Engineering Streaming [EOL] is implemented to transform manufacturing processes by enabling real-time monitoring and predictive maintenance. In finance, it supports fraud detection and transaction processing by delivering real-time data insights. Retail businesses utilize it to enhance customer experience through personalized recommendations and inventory management.

Informatica

Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems.

By providing a unified view, Starburst Enterprise helps organizations make better-informed decisions and improve operational efficiency, leading to better customer insights and more accurate forecasting. Overall, Starburst Enterprise is a powerful tool for organizations looking to unlock the full potential of their data.

Starburst

Sample Customers

Jewelry TV

Information Not Available

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