What users are saying about
50 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.7 out of 100
Based on 50 reviews and ratings
86 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 7.9 out of 100
Based on 86 reviews and ratings
Feature Set Ratings
Data Source Connection
Databricks Lakehouse Platform
Feature Set Not Supported
N/A

7.5
Informatica PowerCenter
75%
Informatica PowerCenter ranks higher in 2/2 features
Informatica PowerCenter ranks higher in 2/2 features
Connect to traditional data sources
N/A
0 Ratings

9.0
90%
18 Ratings
Connecto to Big Data and NoSQL
N/A
0 Ratings

6.0
60%
14 Ratings
Data Transformations
Databricks Lakehouse Platform
Feature Set Not Supported
N/A

8.5
Informatica PowerCenter
85%
Informatica PowerCenter ranks higher in 2/2 features
Informatica PowerCenter ranks higher in 2/2 features
Simple transformations
N/A
0 Ratings

9.2
92%
18 Ratings
Complex transformations
N/A
0 Ratings

7.8
78%
18 Ratings
Data Modeling
Databricks Lakehouse Platform
Feature Set Not Supported
N/A

8.4
Informatica PowerCenter
84%
Informatica PowerCenter ranks higher in 6/6 features
Informatica PowerCenter ranks higher in 6/6 features
Data model creation
N/A
0 Ratings

8.8
88%
15 Ratings
Metadata management
N/A
0 Ratings

7.2
72%
16 Ratings
Business rules and workflow
N/A
0 Ratings

9.0
90%
18 Ratings
Collaboration
N/A
0 Ratings

8.8
88%
16 Ratings
Testing and debugging
N/A
0 Ratings

8.8
88%
17 Ratings
feature 1
N/A
0 Ratings

8.0
80%
2 Ratings
Data Governance
Databricks Lakehouse Platform
Feature Set Not Supported
N/A

9.0
Informatica PowerCenter
90%
Informatica PowerCenter ranks higher in 2/2 features
Informatica PowerCenter ranks higher in 2/2 features
Integration with data quality tools
N/A
0 Ratings

9.0
90%
15 Ratings
Integration with MDM tools
N/A
0 Ratings

9.0
90%
13 Ratings
Attribute Ratings
- Informatica PowerCenter is rated higher in 2 areas: Likelihood to Recommend, Support Rating
- Databricks Lakehouse Platform (Unified Analytics Platform) and Informatica PowerCenter are tied in 1 area: Usability
Likelihood to Recommend
8.7
Databricks Lakehouse Platform
87%
15 Ratings

9.0
Informatica PowerCenter
90%
21 Ratings
Likelihood to Renew
Databricks Lakehouse Platform
N/A
0 Ratings

10.0
Informatica PowerCenter
100%
4 Ratings
Usability
9.0
Databricks Lakehouse Platform
90%
3 Ratings

9.0
Informatica PowerCenter
90%
3 Ratings
Performance
Databricks Lakehouse Platform
N/A
0 Ratings

9.4
Informatica PowerCenter
94%
4 Ratings
Support Rating
7.5
Databricks Lakehouse Platform
75%
2 Ratings

8.9
Informatica PowerCenter
89%
3 Ratings
Contract Terms and Pricing Model
8.0
Databricks Lakehouse Platform
80%
1 Rating

Informatica PowerCenter
N/A
0 Ratings
Professional Services
10.0
Databricks Lakehouse Platform
100%
1 Rating

Informatica PowerCenter
N/A
0 Ratings
Likelihood to Recommend
Databricks Lakehouse Platform
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.

Verified User
Engineer in Engineering
Computer Software Company, 1001-5000 employeesInformatica PowerCenter
Informatica Powercenter is the centerpiece of our overall enterprise data warehouse strategy. It's a critical enablement to ensure we can feed in multiple data stream and transform them into digestible data within our data warehouse. With its flexible capabilities and API availability, we were able to feed in industry standard data format as well as home grown data structure. Overall, we are very pleased with their capability and contribution to our data warehouse strategy.

Verified User
Engineer in Engineering
Internet Company, 5001-10,000 employeesPros
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

Verified User
Team Lead in Engineering
Financial Services Company, 10,001+ employeesInformatica PowerCenter
- Informatica has a wide range of support for databases. Pretty much every mainstream DBMS is compatible here.
- Designing ETL mappings and workflows is a very intuitive process, and takes minimal learning time and effort even for a beginner.
- Informatica's biggest strength is its sheer performance. It is unmatched in terms of handling large volumes of data.

Verified User
Engineer in Information Technology
Information Technology and Services Company, 10,001+ employeesCons
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.

Verified User
Director in Information Technology
Financial Services Company, 201-500 employeesInformatica PowerCenter
- There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
- The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
- There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
Senior Data Solutions Architect
Laser Spine InstituteHospital & Health Care, 501-1000 employees
Pricing Details
Databricks Lakehouse Platform
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$0.07 Per DBU
Databricks Lakehouse Platform Editions & Modules
Edition
Standard | $0.071 |
---|---|
Premium | $0.101 |
Enterprise | $0.131 |
- Per DBU
Additional Pricing Details
—Informatica PowerCenter
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Informatica PowerCenter Editions & Modules
—
Additional Pricing Details
—Likelihood to Renew
Databricks Lakehouse Platform
No score
No answers yet
No answers on this topic
Informatica PowerCenter
Informatica PowerCenter 10.0
Based on 4 answers
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
Director, Business Intelligence & Analytics
Georgetown UniversityHigher Education, 5001-10,000 employees
Usability
Databricks Lakehouse Platform
Databricks Lakehouse Platform 9.0
Based on 3 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
in terms of graph generation and interaction it could improve their UI and UX

Verified User
Manager in Product Management
Financial Services Company, 201-500 employeesInformatica PowerCenter
Informatica PowerCenter 9.0
Based on 3 answers
Positives;- Multi User Development Environment- Speed of transformation- Seamless integration between other Informatica products.Negatives;- There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center.- Oracle Analytical functions should be natively used.- E-LT support as well as ETL support.
Data Quality Management Software Development Manager
Yapı KrediInformation Technology and Services, 10,001+ employees
Performance
Databricks Lakehouse Platform
No score
No answers yet
No answers on this topic
Informatica PowerCenter
Informatica PowerCenter 9.4
Based on 4 answers
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want

Verified User
Manager in Finance and Accounting
Consumer Goods Company, 10,001+ employeesSupport Rating
Databricks Lakehouse Platform
Databricks Lakehouse Platform 7.5
Based on 2 answers
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Informatica PowerCenter
Informatica PowerCenter 8.9
Based on 3 answers
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.

Verified User
Engineer in Information Technology
Computer Software Company, 1001-5000 employeesAlternatives 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

Verified User
Director in Information Technology
Hospitality Company, 10,001+ employeesInformatica PowerCenter
PowerCenter is the industry leader when it comes to interfacing with multiple source and target systems. The graphical interface increases employee productivity while reducing human resource expenditures and training requirements. These other tools offer some similar capabilities, but lack the range and depth when compared with the PowerCenter platform.
Data Integration Data Quality Specialist
CARFAXInformation Services, 501-1000 employees
Contract Terms and Pricing Model
Databricks Lakehouse Platform
Databricks Lakehouse Platform 8.0
Based on 1 answer
The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Informatica PowerCenter
No score
No answers yet
No answers on this topic
Professional Services
Databricks Lakehouse Platform
Databricks Lakehouse Platform 10.0
Based on 1 answer
Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Informatica PowerCenter
No score
No answers yet
No answers on this topic
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.
Freelance Translator
ZOO Digital Group plcEntertainment, 501-1000 employees
Informatica PowerCenter
- The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
- PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
- The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.

Verified User
Engineer in Engineering
Insurance Company, 51-200 employees