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Informatica Enterprise Data Lake vs Precisely Connect comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Enterprise Data...
Ranking in Data Integration
42nd
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Precisely Connect
Ranking in Data Integration
58th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Informatica Enterprise Data Lake is 0.3%, up from 0.2% compared to the previous year. The mindshare of Precisely Connect is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

MB
Jan 15, 2024
A scalable tool that needs a lot of maintenance due to its unstable nature
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 insights of data. At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data. There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner. Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.
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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:
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Logistics Company
8%
Manufacturing Company
8%
Financial Services Firm
20%
Insurance Company
15%
Government
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

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.
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'...
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...
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Also Known As

Informatica Intelligent Data Lake, Intelligent Data Lake
DMExpress, Syncsort DMX, Syncsort Connect ETL
 

Overview

 

Sample Customers

Information Not Available
Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2024.
814,649 professionals have used our research since 2012.