Infor Birst vs. Informatica Cloud Data Quality

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Infor Birst
Score 5.3 out of 10
N/A
Infor Birst offers multi-tenant cloud BI for deployment in a public or private cloud, or on-premises. It provides an in-memory columnar data store and a BI layer comprising a reporting engine, predictive analytics tools, mobile native apps, dashboards, discovery tools, and an open client interface.N/A
Informatica Cloud Data Quality
Score 6.0 out of 10
N/A
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
Pricing
Infor BirstInformatica Cloud Data Quality
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Infor BirstInformatica Cloud Data Quality
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Infor BirstInformatica Cloud Data Quality
Features
Infor BirstInformatica Cloud Data Quality
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Infor Birst
7.4
Ratings
10% below category average
Informatica Cloud Data Quality
-
Ratings
Pixel Perfect reports7.00 Ratings00 Ratings
Customizable dashboards8.00 Ratings00 Ratings
Report Formatting Templates7.10 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Infor Birst
7.0
Ratings
14% below category average
Informatica Cloud Data Quality
-
Ratings
Drill-down analysis8.00 Ratings00 Ratings
Formatting capabilities7.00 Ratings00 Ratings
Integration with R or other statistical packages6.10 Ratings00 Ratings
Report sharing and collaboration7.00 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Infor Birst
8.0
Ratings
4% below category average
Informatica Cloud Data Quality
-
Ratings
Publish to Web8.00 Ratings00 Ratings
Publish to PDF8.00 Ratings00 Ratings
Report Versioning7.20 Ratings00 Ratings
Report Delivery Scheduling9.00 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Infor Birst
6.9
Ratings
14% below category average
Informatica Cloud Data Quality
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)8.00 Ratings00 Ratings
Location Analytics / Geographic Visualization7.00 Ratings00 Ratings
Predictive Analytics5.80 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Infor Birst
8.3
Ratings
2% below category average
Informatica Cloud Data Quality
-
Ratings
Multi-User Support (named login)9.00 Ratings00 Ratings
Role-Based Security Model8.00 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.00 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Infor Birst
5.0
Ratings
44% below category average
Informatica Cloud Data Quality
-
Ratings
Responsive Design for Web Access7.00 Ratings00 Ratings
Mobile Application3.00 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile3.00 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
Infor Birst
-
Ratings
Informatica Cloud Data Quality
8.9
Ratings
2% above category average
Data source connectivity00 Ratings9.30 Ratings
Data profiling00 Ratings9.20 Ratings
Master data management (MDM) integration00 Ratings8.90 Ratings
Data element standardization00 Ratings8.20 Ratings
Match and merge00 Ratings8.70 Ratings
Address verification00 Ratings9.00 Ratings
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Infor BirstInformatica Cloud Data Quality
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Score 9.1 out of 10
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Score 7.7 out of 10
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Reveal
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Score 10.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
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User Ratings
Infor BirstInformatica Cloud Data Quality
Likelihood to Recommend
8.0
(0 ratings)
9.2
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
6.6
(0 ratings)
Usability
9.0
(0 ratings)
8.0
(0 ratings)
Availability
4.1
(0 ratings)
9.0
(0 ratings)
Performance
7.5
(0 ratings)
9.0
(0 ratings)
Support Rating
6.0
(0 ratings)
-
(0 ratings)
In-Person Training
9.1
(0 ratings)
-
(0 ratings)
Online Training
8.0
(0 ratings)
10.0
(0 ratings)
Implementation Rating
5.3
(0 ratings)
10.0
(0 ratings)
Configurability
7.0
(0 ratings)
-
(0 ratings)
Ease of integration
5.0
(0 ratings)
-
(0 ratings)
Product Scalability
6.0
(0 ratings)
9.0
(0 ratings)
Vendor post-sale
5.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
Infor BirstInformatica Cloud Data Quality
Likelihood to Recommend
Birst is well suited for an organization looking for a cloud-hosted analytics solution that is contained within one package. It is able to connect to a very wide variety of different data sources, and has options for either light or involved ETL procedures, depending on the users experience with preparing data. As with any BI project, it would not be suitable for an organization where there is no dedicated team to maintain and manage the project.
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We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways. At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
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Pros
  • Birst is an platform that provides connectors to some of the applications we use, but also allows us to bring in data from disparate systems to perform ETL and integrate all of the data for analyses. It makes no assumptions about your data, which is good for us, as we have a lot of customizations to many of our systems.
  • Birst is making inroads towards a more modern UI.
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  • Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
  • Character Set Mapping
  • Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports
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Cons
  • Birst prices are fairly expensive. License plus cost of users can add up pretty quickly
  • Depending on the size of data, rendering of reports can take a little bit. Need faster processing of data
  • Takes a little time to understand how to build reports, not the most intuitive UI
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  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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Likelihood to Renew
We have been able to overcome any of the drawbacks we've found with Birst easily and it has fulfilled almost all of our analytic needs to date. Having seen their roadmap it would be highly unlikely we would move away from this platform any time soon. You simply can't beat the functionality that Birst provides for the price and the things I see coming out of the company solidify that our decision to choose Birst was the best possible choice. We have never regretted the decision.
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I gave a rating of 8 due to the fact that we use Informatica for both our data quality product and ETL product. Having both integrated makes it so much easier. Microsoft had a similar product of finding duplicates, but at the time it didn't seem mature enough. The usability also in IDQ was pretty easy to navigate and use.
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Usability
Birst is a reliable BI platform that has developed through uploads via the cloud, easy tabular views, quick manual uploads and links to SQL databases. It however does not compete with other BI tools with the data manipulation and connections when your data is uploaded in the platform and the visualisation and customisations available. The automation aspect is very useful and is one of the top features, alongside the user hierarchy and permissions. Birst is an easy and useful tool for finicial reporting, however is not currently the best option on the market for providing easy to understand, edit and present visualisations.
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Easy to use not only for developers but also business users
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Reliability and Availability
We frequently experience -103 errors due to us using the Live Connect functionality, which does not seem to handle even minor interruptions in connectivity, and treats all future connection attempts or data requests as errors, even if the issue does not exist any longer
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The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
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Performance
In a reporting and analytics package there are two distinct performance times to look at. First is the performance of calculating the report data and metrics. I would rate a 9 for this. However, the interface rendering is slow, rating a 7. Dashboards can take 3-5 seconds to load. This is probably not a problem for normal users, as the dashboard render is performed once. My application integrated the dashboard into a commercial product though, with hundreds of customers - so my demands are higher with a large number of end users.
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Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Support Rating
  • Poor turnaround time
  • Low response rate when the problem at hand are large
  • Lack of infrastructural knowledge when it comes to scaling solutions
  • Lack of inter team work noticed
  • Most of the tickets are open for a long period of time
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No answers on this topic
In-Person Training
I went to their annual user conference (Birst Forward) and their standard training class (Birst Boot Camp) this year, and both were excellent. Very educational, and I got all of the personal attention I needed to get my questions about my specific answered. I've also reached out to the trainers after those events to ask more questions, and they've been great about getting back to me with answers
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No answers on this topic
Online Training
Although I found the online resources helpful, a lack of appropriate examples for certain tasks key to report creation and advanced modeling make the online training/documentation less than perfect. For an inexperienced BI professional, the online training would not enable a streamlined launch of the product.
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Implementation Rating
Have clean data! Birst flexibility allows - Start small, then introduce functionality and complexity along the way. If you try to present all the functionality [bells and whistles] and wow them, but bad data is uncovered, the end user blames the new application and turns away.
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Alternatives Considered
Infor Birst OEM and embedded analytics have low-code no-code features which are easy to deploy and with easy instances creation with a dev-quality-production environment. Good capability on data mapping features from source to intermediate to target with impressive metadata management.
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Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
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Scalability
we can see that loading a lot of data can cause a noticable slow down in performance. Birst support indicated that they don't really consider anything less than 30 seconds to be an issue, but that is not the case for our customers, so we have had to change some of implementation to address this
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Scalability works as expected and it is truly an enterprise system.
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Return on Investment
  • Being a manufacturing company we tend to lag behind technologically. But having all the data for different ERP systems in one place has been an eye opener for the executives. It has lessened the need to convert some legacy ERP systems.
  • Having such a simple reporting tool is a great asset to some of our sites that have traditionally had trouble gathering data from AS400 systems.
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  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
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ScreenShots

Infor Birst Screenshots

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