Try our new research platform with insights from 80,000+ expert users

MANTA Flow vs erwin Data Intelligence comparison

Quest Software and Manta are both solutions in the Data Governance category. Quest Software is ranked #28, while Manta is ranked #33. Quest Software holds a 1.8% mindshare in DG, compared to Manta’s 0.6% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Manta users who would recommend it.
erwin Data Intelligence
Read 18 erwin Data Intelligence reviews
  • 2,788 Views
  • 2,788 Comparison Views
100% willing to recommend
MANTA Flow
Read 2 MANTA Flow reviews
  • 372 Views
  • 372 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive SummaryUpdated on Aug 19, 2025

Erwin Data Intelligence and MANTA Flow are leading competitors in data management. MANTA Flow seems to have an upper hand due to its extensive features, despite its higher cost.

Features: Erwin Data Intelligence offers comprehensive data lineage, large-scale data governance, and strong support resources. MANTA Flow is distinguished by its detailed data lineage, impactful visualization tools, and advanced automation that enhances data mapping and understanding.

Ease of Deployment and Customer Service: Erwin Data Intelligence features a straightforward deployment process with responsive customer support, which facilitates its integration into existing systems. MANTA Flow, though more complex to deploy, provides superior automation capabilities that require more resources but enhance analysis depth.

Pricing and ROI: Erwin Data Intelligence presents a competitive pricing structure with a favorable initial ROI due to its accessible costs and supportive customer service. MANTA Flow, demanding a higher initial setup investment, offers extensive features that can lead to increased ROI over time, particularly beneficial for organizations focusing on comprehensive data analysis.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed MANTA Flow vs. erwin Data Intelligence Report (Updated: September 2025).
Buyer's Guide
MANTA Flow vs. erwin Data Intelligence
September 2025
Download the complete report
Helped 869,566 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

erwin Data Intelligence
Ranking in Data Governance
28th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
AI Governance (17th)
MANTA Flow
Ranking in Data Governance
33rd
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.8%, down from 2.5% compared to the previous year. The mindshare of MANTA Flow is 0.6%, down from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
erwin Data Intelligence1.8%
MANTA Flow0.6%
Other97.6%
Data Governance
 

Featured Reviews

Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering.
Read full review
LeandroSodré - PeerSpot reviewer
Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams
I had some difficulties, trying to use the direct link which is metadata through files that you can upload to MANTA Flow and you can just say from there where that data is going. But we just figured out that sometimes, depending on the level of the granularity that if you want to link the object, you can not. For example, if you want to link the objects just by schema, sometimes it does not work. So you need to scroll down and link each table. Sometimes the table level does not work, and you need to go deeper and go to link column to column. We figured out that this was a bug in MANTA Flow, and we talked to them and I think they were fixing it. But in our case, we just realized that if we could link the objects at the lowest level possible, it would work. I was trying to develop, right now, some kind of automation to compare the listed revision that I have in MANTA Flow with some other revision. And I would like to do it in an automatic way. I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface. I think it would be very powerful because if you want to automate just warn the data owners the structures were updated by looking at the object level, and send an email to these owners to see if that change makes sense.
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

"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The data mapping manager is the most valuable feature."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."
"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
More erwin Data Intelligence pros
"The solution is stable. We have not found any fatal errors yet."
"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."
 

Cons

"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"The technical support could be improved."
"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"The data quality assessment requires third-party components and a separate license."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
More erwin Data Intelligence cons
"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."
"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."
 

Pricing and Cost Advice

"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."
"There is an additional fee for the server maintenance."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"The solution is aggressively priced."
"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"The price is reasonable, and a subscription is required."
More erwin Data Intelligence pricing and cost advice
"As a service company, we don't care about the price because the customer is paying, but the customers consider MANTA to be reasonable."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
See recommendations
869,566 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
26%
Financial Services Firm
11%
Government
7%
Insurance Company
6%
Financial Services Firm
42%
Non Profit
10%
Insurance Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise4
Large Enterprise14
No data available
 

Comparisons

Microsoft Purview Data Governance vs erwin Data Intelligence Logo
Microsoft Purview Data Governance vs erwin Data Intelligence
Compared 31% of the time
Collibra Governance vs erwin Data Intelligence Logo
Collibra Governance vs erwin Data Intelligence
Compared 24% of the time
Alation Data Catalog vs erwin Data Intelligence Logo
Alation Data Catalog vs erwin Data Intelligence
Compared 11% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence Logo
Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence
Compared 9% of the time
Collibra Lineage vs erwin Data Intelligence Logo
Collibra Lineage vs erwin Data Intelligence
Compared 8% of the time
More erwin Data Intelligence Competitors
Collibra Lineage vs MANTA Flow Logo
Collibra Lineage vs MANTA Flow
Compared 48% of the time
Alation Data Catalog vs MANTA Flow Logo
Alation Data Catalog vs MANTA Flow
Compared 31% of the time
Microsoft Purview Data Governance vs MANTA Flow Logo
Microsoft Purview Data Governance vs MANTA Flow
Compared 20% of the time
More MANTA Flow Competitors
 

Product Reports

Buyer's Guide
erwin Data Intelligence
October 2025
erwin Data Intelligence reportDownload erwin Data Intelligence product report
Buyer's Guide
Data Governance
September 2025
MANTA Flow reportDownload MANTA Flow product report
 

Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?
  • Automation Scripts: Speeds up development processes through powerful scripts.
  • Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
  • Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
  • Customization Flexibility: Adapts to existing infrastructure for seamless integration.
  • Comprehensive Visualization: Empowers data visualization and standardization processes.
What benefits and ROI can users expect?
  • Increased Development Speed: Automation scripts notably enhance development efficiency.
  • Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
  • Effective Integration: Seamlessly fits with ETL tools and existing workflows.
  • Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
  • Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Data Lineage Done Right
MANTA’s unified lineage platform maps all information flows to give you a complete overview of your data pipeline. Save money on manual labor by automating data lineage discovery; keep your data pipeline healthy by preventing data incidents; and migrate painlessly to the cloud.

Manta
 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Information Not Available
Buyer's Guide
MANTA Flow vs. erwin Data Intelligence
September 2025
Free Report: MANTA Flow vs. erwin Data Intelligence
Find out what your peers are saying about MANTA Flow vs. erwin Data Intelligence and other solutions. Updated: September 2025.
DOWNLOAD NOW
869,566 professionals have used our research since 2012.
See our MANTA Flow vs. erwin Data Intelligence report.
See our list of best Data Governance vendors.

We monitor all Data Governance 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.