Informatica Enterprise Data Lake vs Upsolver comparison

Informatica and Upsolver are both solutions in the Data Integration category. Informatica is ranked #41 with an average rating of 7.0, while Upsolver is ranked #37 with an average rating of 8.5. Informatica holds a 0.4% mindshare in DI, compared to Upsolver’s 0.3% mindshare. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

Informatica Enterprise Data...

Read 2 Informatica Enterprise Data Lake reviews

454 Views
350 Comparison Views

100% willing to recommend

Upsolver

Read 2 Upsolver reviews

368 Views
280 Comparison Views

100% willing to recommend

Informatica Enterprise Data...

Upsolver

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Informatica Enterprise Data Lake and Upsolver based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: August 2025).

Buyer's Guide

Data Integration

August 2025

Download the complete report

Helped 867,676 peers since 2012

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 Enterprise Data...

Ranking in Data Integration

41st

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Upsolver

Ranking in Data Integration

37th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Streaming Analytics (20th)

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Informatica Enterprise Data Lake is 0.4%, up from 0.2% compared to the previous year. The mindshare of Upsolver is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Upsolver	0.3%
Informatica Enterprise Data Lake	0.4%
Other	99.3%

Data Integration

Featured Reviews

Santanu Bhattacharya

Technical manager at Cognizant

Have built an enterprise-level cloud data pipeline with reliable governance and integration

People use Informatica Enterprise Data Lake because we can create the whole journey from data migration projects from the legacy system to AWS and to the Lake architecture, covering the entire journey from the source to the landing zone, then to the curated zone, and finally consumed by both downstream and upstream applications. The main benefit of Informatica Enterprise Data Lake is that it allows you to use different types of data types, including blobs and storage; all types of data—structured, unstructured, and semi-structured—can exist in the Data Lake architecture, making it robust for retrieving data based on your filtration needs. Its value is actually governed by the client, who combined with our company and AWS, so we all work together to use the workspace and all these things for Informatica Enterprise Data Lake.

Read full review

Snehasish Das

Technology Leader at eTCaaS

Allows for data to be moved across platforms and different data technologies

The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies. Upsolver does this in a quick time, unlike traditional processes which are time-consuming. Additionally, it offers scalability for large volumes of data, with performance and ease of cloud-native integration.

Read full review

Quotes from Members

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

Pros

"The process of using the tool's scalability option is well documented."

"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."

"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

"Customer service is excellent, and I would rate it between eight point five to nine out of ten."

Cons

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

"There is room for improvement in query tuning."

"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."

"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."

"Upsolver is affordable at approximately $225 per terabyte per year."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

867,676 professionals have used our research since 2012.

Questions from the Community

What do you like most about Informatica Enterprise Data Lake?

The process of using the tool's scalability option is well documented.

See all answers

What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?

The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn'...

See all answers

What needs improvement with Informatica Enterprise Data Lake?

Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insi...

See all answers

What is your experience regarding pricing and costs for Upsolver?

Upsolver is affordable at approximately $225 per terabyte per year. Compared to what I know from others, it's cheaper than many other products.

See all answers

What needs improvement with Upsolver?

There is room for improvement in query tuning. Upsolver could do a more in-depth analysis in employing machine power, such as CPU and memory, to enhance query performance. Furthermore, allocating C...

See all answers

What is your primary use case for Upsolver?

I am working as a consultant and currently have my own consultancy services. I provide services to companies that are data-heavy and looking for data engineering solutions for their business needs....

See all answers

Comparisons

SSIS vs Informatica Enterprise Data Lake

Compared 100% of the time

More Informatica Enterprise Data Lake Competitors

Databricks vs Upsolver

Compared 54% of the time

Rivery vs Upsolver

Compared 46% of the time

More Upsolver Competitors

Product Reports

Buyer's Guide

Data Integration

August 2025

Download Informatica Enterprise Data Lake product report

Buyer's Guide

Data Integration

August 2025

Download Upsolver product report

Also Known As

Informatica Intelligent Data Lake, Intelligent Data Lake

No data available

Overview

The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects.

Informatica

Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: August 2025.

DOWNLOAD NOW

867,676 professionals have used our research since 2012.

See our list of best Data Integration vendors.

We monitor all 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.