What users are saying about
<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener'>Customer Verified: Read more.</a>
43 Ratings
32 Ratings

Databricks Lakehouse Platform

<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener'>Customer Verified: Read more.</a>
43 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.6 out of 100
32 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 6.1 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

InfoSphere

As a Team Lead business person, I would recommend IBM InfoSphere Information Server to all prospects that are looking to integrate data from multiple on-premises and cloud applications. Apart from that, IBM InfoSphere Information Server offers a lot of capabilities like data quality management and cleansing, thus I would emphasize them to determine their data management requirements before Implementing this data integration platform.
Duncan Houston | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Databricks Lakehouse Platform
InfoSphere
9.0
Connect to traditional data sources
Databricks Lakehouse Platform
InfoSphere
10.0
Connecto to Big Data and NoSQL
Databricks Lakehouse Platform
InfoSphere
8.0

Data Transformations

Databricks Lakehouse Platform
InfoSphere
6.0
Simple transformations
Databricks Lakehouse Platform
InfoSphere
6.0
Complex transformations
Databricks Lakehouse Platform
InfoSphere
6.0

Data Modeling

Databricks Lakehouse Platform
InfoSphere
5.5
Data model creation
Databricks Lakehouse Platform
InfoSphere
5.0
Metadata management
Databricks Lakehouse Platform
InfoSphere
5.0
Business rules and workflow
Databricks Lakehouse Platform
InfoSphere
5.0
Collaboration
Databricks Lakehouse Platform
InfoSphere
6.0
Testing and debugging
Databricks Lakehouse Platform
InfoSphere
6.0
feature 1
Databricks Lakehouse Platform
InfoSphere
6.0

Data Governance

Databricks Lakehouse Platform
InfoSphere
6.0
Integration with data quality tools
Databricks Lakehouse Platform
InfoSphere
6.0
Integration with MDM tools
Databricks Lakehouse Platform
InfoSphere
6.0

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

InfoSphere

  • Any source to any target support.
  • ETL flexibility without coding.
  • Extreme data volume processing.
  • Native integration with other Data integration functionalities such as data profiling, data cleansing, metadata management.
Karina Gonzalez | 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

InfoSphere

  • I would be nice to have a new web development environment for DataStage.
  • Connectivity Packs such as Pack for SAP Application are a little pricey.
  • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
Gonzalo Angeleri | TrustRadius Reviewer

Likelihood to Renew

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

InfoSphere

InfoSphere 8.0
Based on 1 answer
  • Scale of implementation
  • IBM techsupport
Anonymous | 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

InfoSphere

InfoSphere 9.0
Based on 1 answer
Very usable and user accessible
Anonymous | TrustRadius Reviewer

Performance

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

InfoSphere

InfoSphere 8.0
Based on 1 answer
Information does load quick, but it depends on what's being done, the backend database seems to be the biggest bottleneck
Anonymous | 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

InfoSphere

No score
No answers yet
No answers on this topic

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

InfoSphere

DataStage is more robust and stable than ODIThe ability to perform complex transformations or implement business rules is much more developed in DS
Anonymous | 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

InfoSphere

  • If you don't use all of the product family, it will be expensive. But if you want to plan use all the products and you will position it in the center of your infrastructure ROI will be effective.
Gunes INAL | 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

InfoSphere

General

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

InfoSphere Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Databricks Lakehouse Platform
8.6
InfoSphere
6.0

Likelihood to Renew

Databricks Lakehouse Platform
InfoSphere
8.0

Usability

Databricks Lakehouse Platform
8.0
InfoSphere
9.0

Performance

Databricks Lakehouse Platform
InfoSphere
8.0

Support Rating

Databricks Lakehouse Platform
5.0
InfoSphere

Add comparison