Melissa Data Quality vs ibi Data Quality comparison

Information Builders and Melissa are both solutions in the Data Quality category. Information Builders is ranked #12 with an average rating of 9.0, while Melissa is ranked #8 with an average rating of 9.0. Information Builders holds a 0.2% mindshare in DQ, compared to Melissa’s 3.2% mindshare. Additionally, 100% of Information Builders users are willing to recommend the solution, compared to 95% of Melissa users who would recommend it.

ibi Data Quality

Read 2 ibi Data Quality reviews

31 Views
22 Comparison Views

100% willing to recommend

Melissa Data Quality

Read 40 Melissa Data Quality reviews

501 Views
280 Comparison Views

95% willing to recommend

ibi Data Quality

Melissa Data Quality

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between ibi Data Quality and Melissa Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Melissa Data Quality vs. ibi Data Quality Report (Updated: December 2024).

Buyer's Guide

Melissa Data Quality vs. ibi Data Quality

December 2024

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Helped 824,067 peers since 2012

Categories and Ranking

ibi Data Quality

Ranking in Data Quality

12th

Ranking in Data Scrubbing Software

7th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Melissa Data Quality

Ranking in Data Quality

8th

Ranking in Data Scrubbing Software

4th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Quality category, the mindshare of ibi Data Quality is 0.2%, down from 0.6% compared to the previous year. The mindshare of Melissa Data Quality is 3.2%, down from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Vishnu Polagani

Solutions Architect at GreenZone Solutions Inc

Offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks

We had many duplicates originating from different source systems. We were able to match and deduplicate a significant amount of data. Additionally, we could synchronize and write back the latest information to the systems that were out of sync, ensuring they had the most recent data. As a result, we could write back and update the source systems.

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GaryM

Data Architect at World Vision

SSIS MatchUp Component is Amazing

- Scalability is a limitation as it is single threaded. You can bypass this limitation by partitioning your data (say by alphabetic ranges) into multiple dataflows but even within a single dataflow the tool starts to really bog down if you are doing survivorship on a lot of columns. It's just very old technology written that's starting to show its age since it's been fundamentally the same for many years. To stay relavent they will need to replace it with either ADF or SSIS-IR compliant version. - Licensing could be greatly simplified. As soon as a license expires (which is specific to each server) the product stops functioning without prior notice and requires a new license by contacting the vendor. And updating the license is overly complicated. - The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation but that isn't true since pretty much all SSIS components are resizable except theirs! This is just an annoyance but needless impact on productivity when developing new data flows. - The tool needs to provide for incremental matching using the MatchUp for SSIS tool (they provide this for other solutions such as standalone tool and MatchUp web service). We had to code our own incremental logic to work around this. - Tool needs ability to sort mapped columns in the GUI when using advanced survivorship (only allowed when not using column-level survivorship). - It should provide an option for a procedural language (such as C# or VB) for survivor-ship expressions rather than relying on SSIS expression language. - It should provide a more sophisticated ability to concatenate groups of data fields into common blocks of data for advanced survivor-ship prioritization (we do most of this in SQL prior to feeding the data to the tool). - It should provide the ability to only do survivor-ship with no matching (matching is currently required when running data through the tool). - Tool should provide a component similar to BDD to enable the ability to split into multiple thread matches based on data partitions for matching and survivor-ship rather than requiring custom coding a parallel capable solution. We broke down customer data by first letter of last name into ranges of last names so we could run parallel data flows. - Documentation needs to be provided that is specific to MatchUp for SSIS. Most of their wiki pages were written for the web service API MatchUp Object rather than the SSIS component. - They need to update their wiki site documentation as much of it is not kept current. Its also very very basic offering very little in terms of guidelines. For example, the tool is single-threaded so getting great performance requires running multiple parallel data flows or BDD in a data flow which you can figure out on your own but many SSIS practitioners aren't familiar with those techniques. - The tool can hang or crash on rare occasions for unknown reason. Restarting the package resolves the problem. I suspect they have something to do with running on VM (vendor doesn't recommend running on VM) but have no evidence to support it. When it crashes it creates dump file with just vague message saying the executable stopped running.

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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

"Ibi Data Quality offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks. Additionally, it provides a variety of prebuilt match and merge rules for performing master data management,"

"Works quickly to develop and deploy to production."

"We are able to more accurately identify valid, and better formatted, data which improves the data we store in our database."

"By using Melissa Data, we are able to scrub and verify, then better validate the end customer's address to ensure a more consistent delivery of products."

"Enables us to send out bulk mailings when we need to verify NCOA."

"Be confident that the scalability and load are not going to be an issue with the services. "

"We have only been using this for about two months, but it has sped up our processing significantly. It makes data mining easy and fast. We don't have to spend an entire month gathering correct information on leads. All we need is a list of home addresses, and in minutes we have names and phone numbers to increase our chance of these leads becoming customers."

"Address parsing. Our other software does not have this functionality."

"It cuts down significantly on time in trying to match names to addresses. I can do in a few hours what would otherwise take days to accomplish."

"Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant."

More Melissa Data Quality pros

Cons

"Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great enhancement."

"Special integration support could be improved."

"Address validation and parsing in a few countries have room for improvement."

"MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically."

"There are some companies out there using Google or other sources to check / confirm if addresses are residential. If Melissa is not doing this, that could be an improvement."

"More countries should be supported by Melissa."

"One thing I would want to have, when you're doing a property search, you can do it either on the FIPS in the APN number or the address itself. For some entries, I'll have the APN number, and some I'll have the address. Apparently it cannot process something when both the FIPS-APN and the address are on there. I have to sort, once with one and once with the other, which is a little bit of a pain."

"To continually update the database with NAICS codes on businesses."

"Needs to validate more addresses accurately."

"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."

More Melissa Data Quality cons

Pricing and Cost Advice

Information not available

"NCOA address verification was a requirement from USPS to send out the mailers. This was the only option that charged per address which was extremely helpful since we are a small non-profit school."

"Fully understand your volume, both monthly and annually. Speak with a Melissa account manager, they will put together an effective solution to meet your needs."

"Melissa pricing is competitive."

"They were willing to work with our preferred vendors, though it involved extra steps to get the license."

"The price for address validation is similar in all software. However, the price for geocoding decides the actual pricing. If you get their most accurate geocoding (called GeoPoints), then it will add about $10k+ per million requests."

"Trial subscriptions (via cloud) are very cheap and easy to use. It’s a great way to test Listware to see if you want to go deeper with integration."

"Buy a lot more credits than you think you’re going to need."

"Depends on situation. We prefer to have data onsite, but some might prefer web access."

More Melissa Data Quality pricing and cost advice

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824,067 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Manufacturing Company

14%

Financial Services Firm

12%

Insurance Company

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for iWay Omni-Gen Data Quality?

There is an upgrade to the existing version, where a different license could be used, but we have a perpetual license. I rate the product’s pricing a three out of ten, where one is cheap, and ten i...

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What needs improvement with iWay Omni-Gen Data Quality?

Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great ...

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What advice do you have for others considering iWay Omni-Gen Data Quality?

For the on-prem solution, we installed a package on the web server. This package included web-based tools and development tools, which were Eclipse-based toolsets. These tools allowed us to design ...

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Comparisons

No data available

Informatica Intelligent Data Management Cloud (IDMC) vs Melissa Data Quality

Compared 60% of the time

Experian Data Quality vs Melissa Data Quality

Compared 40% of the time

More Melissa Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

November 2024

Download ibi Data Quality product report

Buyer's Guide

Melissa Data Quality

December 2024

Download Melissa Data Quality product report

Also Known As

iWay Software Data Quality, iWay Omni-Gen Data Quality Edition, Omni-Gen Data Quality

No data available

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Information Builders

Melissa

Overview

With AI-assisted workflows, and a knowledge hub of reusable components for profiling, validating, and fixing enterprise data elements, ibi Data Quality software engages both business and technical users. It improves the quality of data anywhere it enters your landscape, via online apps, data streams, message queues, and batch interfaces. Use the ibi Data Quality solution as a standalone product, or take advantage of its web APIs to improve the effectiveness of your downstream integration, migration, BI, analytics, AI/ML, and MDM efforts.

Data Quality Components for SSIS

This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

Sample Customers

ICA Fluor, Estonia Police Department, Kansas City Police Department

Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.

Buyer's Guide

Melissa Data Quality vs. ibi Data Quality

December 2024

Free Report: Melissa Data Quality vs. ibi Data Quality

Find out what your peers are saying about Melissa Data Quality vs. ibi Data Quality and other solutions. Updated: December 2024.

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824,067 professionals have used our research since 2012.

See our Melissa Data Quality vs. ibi Data Quality report.

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We monitor all Data Quality 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.