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43 Ratings
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Top Rated
471 Ratings

Databricks Lakehouse Platform

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43 Ratings
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Score 8.6 out of 100

IBM Cognos Analytics

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Top Rated
471 Ratings
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Score 8.1 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

[Databricks Lakehouse Platform (Unified Analytics Platform)] makes the power of Spark accessible. Databricks's proactive and customer-centric service. It is a highly adaptable solution for data engineering, data science, and AI. Load times are not consistent and no ability to restrict data access to specific users or groups.
Gilrod Maerina | TrustRadius Reviewer

IBM Cognos Analytics

Well suited:* simple reports for simple users ("big button-users", mostly managers or CEOs)* analyze date in cubes (finding "most important customer-group", finding "outliers" / "exceptions"; seeing historical development of...)Less appropriate: * beautiful reports for the general public! Be it paper, be it in electronic form (online)
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

BI Standard Reporting

Databricks Lakehouse Platform
IBM Cognos Analytics
7.7
Pixel Perfect reports
Databricks Lakehouse Platform
IBM Cognos Analytics
7.5
Customizable dashboards
Databricks Lakehouse Platform
IBM Cognos Analytics
7.7
Report Formatting Templates
Databricks Lakehouse Platform
IBM Cognos Analytics
7.9

Ad-hoc Reporting

Databricks Lakehouse Platform
IBM Cognos Analytics
8.2
Drill-down analysis
Databricks Lakehouse Platform
IBM Cognos Analytics
8.1
Formatting capabilities
Databricks Lakehouse Platform
IBM Cognos Analytics
7.9
Integration with R or other statistical packages
Databricks Lakehouse Platform
IBM Cognos Analytics
7.9
Report sharing and collaboration
Databricks Lakehouse Platform
IBM Cognos Analytics
8.7

Report Output and Scheduling

Databricks Lakehouse Platform
IBM Cognos Analytics
8.6
Publish to Web
Databricks Lakehouse Platform
IBM Cognos Analytics
8.3
Publish to PDF
Databricks Lakehouse Platform
IBM Cognos Analytics
9.1
Report Versioning
Databricks Lakehouse Platform
IBM Cognos Analytics
8.6
Report Delivery Scheduling
Databricks Lakehouse Platform
IBM Cognos Analytics
9.1
Delivery to Remote Servers
Databricks Lakehouse Platform
IBM Cognos Analytics
8.0

Data Discovery and Visualization

Databricks Lakehouse Platform
IBM Cognos Analytics
7.2
Pre-built visualization formats (heatmaps, scatter plots etc.)
Databricks Lakehouse Platform
IBM Cognos Analytics
7.9
Location Analytics / Geographic Visualization
Databricks Lakehouse Platform
IBM Cognos Analytics
7.2
Predictive Analytics
Databricks Lakehouse Platform
IBM Cognos Analytics
6.6

Access Control and Security

Databricks Lakehouse Platform
IBM Cognos Analytics
8.6
Multi-User Support (named login)
Databricks Lakehouse Platform
IBM Cognos Analytics
8.8
Role-Based Security Model
Databricks Lakehouse Platform
IBM Cognos Analytics
8.6
Multiple Access Permission Levels (Create, Read, Delete)
Databricks Lakehouse Platform
IBM Cognos Analytics
8.6
Single Sign-On (SSO)
Databricks Lakehouse Platform
IBM Cognos Analytics
8.4

Mobile Capabilities

Databricks Lakehouse Platform
IBM Cognos Analytics
6.4
Responsive Design for Web Access
Databricks Lakehouse Platform
IBM Cognos Analytics
6.7
Dedicated iOS Application
Databricks Lakehouse Platform
IBM Cognos Analytics
6.8
Dedicated Android Application
Databricks Lakehouse Platform
IBM Cognos Analytics
5.6
Dashboard / Report / Visualization Interactivity on Mobile
Databricks Lakehouse Platform
IBM Cognos Analytics
6.5

Application Program Interfaces (APIs) / Embedding

Databricks Lakehouse Platform
IBM Cognos Analytics
7.4
REST API
Databricks Lakehouse Platform
IBM Cognos Analytics
7.4
Javascript API
Databricks Lakehouse Platform
IBM Cognos Analytics
7.6
iFrames
Databricks Lakehouse Platform
IBM Cognos Analytics
8.1
Java API
Databricks Lakehouse Platform
IBM Cognos Analytics
6.8
Themeable User Interface (UI)
Databricks Lakehouse Platform
IBM Cognos Analytics
7.0
Customizable Platform (Open Source)
Databricks Lakehouse Platform
IBM Cognos Analytics
7.5

Pros

Databricks Lakehouse Platform

  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
Anonymous | TrustRadius Reviewer

IBM Cognos Analytics

  • What IBM Cognos does really well is provide precise data that may otherwise be hard to retrieve from your primary accounting software. While doing so, it organizes this data such that it becomes much more meaningful to analyze.
  • IBM Cognos also does a fantastic job through the Query Studio module to give certain users the ability to create simple reports and modify existing reports, this allows the flexibility a user needs in getting the intended data.
  • IBM Cognos also provides the ability to utilize a BI tool for complicated reporting requirements or in cases when there are many data dependencies that exist. This BI tool enables Cognos to tackle many organizational and data challenges that companies face in the industry.
Nabeel Chohan | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

IBM Cognos Analytics

  • With the upgrade from Cognos 10 to Cognos 11, there were a lot of features, like run schedule once, weren't brought over to the newest version of Report Studio.
  • I felt like they were trying to chase Tableau and Qlik with dashboarding rather than focusing on their bread and butter of Report Studio or which other Business Intelligence tools don't do very well.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 7.9
Based on 23 answers
For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.
Sachin Karkun | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 8.0
Based on 2 answers
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX
Anonymous | TrustRadius Reviewer

IBM Cognos Analytics

IBM Cognos Analytics 7.5
Based on 6 answers
We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.
Robert Goodman | TrustRadius Reviewer

Reliability and Availability

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 8.6
Based on 8 answers
Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point
Gerrit Goewey | TrustRadius Reviewer

Performance

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 9.0
Based on 10 answers
Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.
Meghdeep Raval, PMP | TrustRadius Reviewer

Support Rating

Databricks Lakehouse Platform

Databricks Lakehouse Platform 5.0
Based on 1 answer
I have not had the need of support from Databricks [Lakehouse Platform] team itself to the date
Anonymous | TrustRadius Reviewer

IBM Cognos Analytics

IBM Cognos Analytics 7.0
Based on 14 answers
Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.
Jonathan Kyrlach | TrustRadius Reviewer

In-Person Training

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 8.7
Based on 4 answers
Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.
Robert Goodman | TrustRadius Reviewer

Online Training

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 8.0
Based on 4 answers
The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us
Gerrit Goewey | TrustRadius Reviewer

Implementation Rating

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 7.0
Based on 14 answers
Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.
Toni McKee | TrustRadius Reviewer

Alternatives Considered

Databricks Lakehouse Platform

Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
Anonymous | TrustRadius Reviewer

IBM Cognos Analytics

Although Tableau has certain advantages, mostly in its best in class visualization capabilities, Cognos is catching up. Most of the other advantages of Tableau Desktop have been addressed in more recent versions of Cognos, for instance the ability to ingest personal data sources, self-service modeling, and improved dashboarding/visualization features. Tableau still lacks a centralized metadata and governance model and requires a bit more effort to implement at the enterprise level. Also, Cognos is still best in breed for standardized reporting, which is always a crucial need for organizations. More requirements can be centrally addressed by Cognos, but it is unlikely any organization will have just one BI tool.
Albert Valdez | TrustRadius Reviewer

Scalability

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

IBM Cognos Analytics

IBM Cognos Analytics 10.0
Based on 1 answer
The Cognos architecture is well suited for scalability. However, the architecture must be designed with scalability in mind from day one of the implementation. We recently upgraded from 10.1 to 10.2.1 and took the opportunity to revamp our architecture. It is now poised for future growth and scalability.
Robert Goodman | TrustRadius Reviewer

Return on Investment

Databricks Lakehouse Platform

  • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
Ann Le | TrustRadius Reviewer

IBM Cognos Analytics

  • (+) increased efficiency: Less time trying to figure out how to do something w/ another BI tool that may seem impossible -- Cognos will be able to do it 99% of the time
  • (-) increased training required: Training for Cognos had to be longer and more intensive than other BI tools. For example, my team members go through a week long 8-hour/day class and it was just enough to scratch the surface. A good base if required, but real world experience is the only way to become a Cognos pro.
  • (-) more end-user training: We do mostly canned reports with Cognos, so out end-users must be trainied. It is much harder to train them with Cognos than other BI tools. This is why I only turn to Cognos if I cannot accomplish my goal in another tool.
Anonymous | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

IBM Cognos Analytics

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

IBM Cognos Analytics Editions & Modules

On-premise Edition
On Demand Standard$15.001
On Demand Plus$35.001
On Demand Premium$70.001
  1. Per User/Per Month
SaaS Edition
On Cloud HostedContact for quote
  1. none
Additional Pricing Details
30-day free trial available.

Rating Summary

Likelihood to Recommend

Databricks Lakehouse Platform
8.6
IBM Cognos Analytics
7.8

Likelihood to Renew

Databricks Lakehouse Platform
IBM Cognos Analytics
7.9

Usability

Databricks Lakehouse Platform
8.0
IBM Cognos Analytics
7.5

Reliability and Availability

Databricks Lakehouse Platform
IBM Cognos Analytics
8.6

Performance

Databricks Lakehouse Platform
IBM Cognos Analytics
9.0

Support Rating

Databricks Lakehouse Platform
5.0
IBM Cognos Analytics
7.0

In-Person Training

Databricks Lakehouse Platform
IBM Cognos Analytics
8.7

Online Training

Databricks Lakehouse Platform
IBM Cognos Analytics
8.0

Implementation Rating

Databricks Lakehouse Platform
IBM Cognos Analytics
7.0

Scalability

Databricks Lakehouse Platform
IBM Cognos Analytics
10.0

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