50 Ratings
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Score 8.7 out of 100
86 Ratings
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Score 7.9 out of 100

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

    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

    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

    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

    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.
    Anonymous | TrustRadius Reviewer

    Informatica 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.
    Anonymous | TrustRadius Reviewer

    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

    Informatica 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.
    Anonymous | 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

    Informatica 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.
    Jody Gitchel | TrustRadius Reviewer

    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
    1. 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.
    Robert Goodman | TrustRadius Reviewer

    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
    Anonymous | TrustRadius Reviewer

    Informatica 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.
    Gurcan Orhan | TrustRadius Reviewer

    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
    Anonymous | TrustRadius Reviewer

    Support 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.
    Jonatan Bouchard | TrustRadius Reviewer

    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.
    Anonymous | 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

    Informatica 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.
    Brian Randolph | TrustRadius Reviewer

    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
    Jonatan Bouchard | TrustRadius Reviewer

    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.
    Jonatan Bouchard | TrustRadius Reviewer

    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.
    Ann Le | TrustRadius Reviewer

    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.
    Anonymous | TrustRadius Reviewer

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