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Databricks Data Intelligence Platform vs. Informatica Cloud Data Integration

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Databricks Data Intelligence Platform

    Score9 out of 10
    N/ADatabricks offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service provides a platform for data pipelines, data lakes, and data platforms.

    $0.07

    Per DBU

    Informatica Cloud Data Integration

    Score8.7 out of 10
    N/AInformatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.N/A
    Pricing
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    No answers on this topic
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Considered Both Products
    Databricks
    No answer on this topic
    Informatica
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    No answers on this topic
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    No answers on this topic
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Data Source Connection
    Comparison of Data Source Connection features of Databricks Data Intelligence Platform and Informatica Cloud Data Integration
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Informatica Cloud Data Integration
    10.0
    2 Ratings
    18% above category average
    Connect to traditional data sources00 Ratings10.02 Ratings
    Connecto to Big Data and NoSQL00 Ratings10.02 Ratings
    Data Transformations
    Comparison of Data Transformations features of Databricks Data Intelligence Platform and Informatica Cloud Data Integration
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Informatica Cloud Data Integration
    8.5
    2 Ratings
    4% above category average
    Simple transformations00 Ratings10.02 Ratings
    Complex transformations00 Ratings7.02 Ratings
    Data Modeling
    Comparison of Data Modeling features of Databricks Data Intelligence Platform and Informatica Cloud Data Integration
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Informatica Cloud Data Integration
    8.3
    2 Ratings
    4% above category average
    Data model creation00 Ratings9.01 Ratings
    Metadata management00 Ratings9.01 Ratings
    Business rules and workflow00 Ratings9.01 Ratings
    Collaboration00 Ratings7.02 Ratings
    Testing and debugging00 Ratings7.02 Ratings
    Data Governance
    Comparison of Data Governance features of Databricks Data Intelligence Platform and Informatica Cloud Data Integration
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Informatica Cloud Data Integration
    9.0
    1 Ratings
    11% above category average
    Integration with data quality tools00 Ratings9.01 Ratings
    Integration with MDM tools00 Ratings9.01 Ratings
    Best Alternatives
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Small Businesses
    No answers on this topic
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Likelihood to Recommend
    9.4
    (21 ratings)
    8.0
    (2 ratings)
    Usability
    9.7
    (7 ratings)
    6.0
    (1 ratings)
    Support Rating
    8.7
    (2 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    8.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Databricks Data Intelligence PlatformInformatica Cloud Data Integration
    Likelihood to Recommend
    Databricks
    Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
    Incentivized
    Read full review
    Informatica
    We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
    Incentivized
    Read full review
    Pros
    Databricks
    • 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
    Incentivized
    Read full review
    Informatica
    • Data synchronisation
    • Data replication
    • Data integration
    Read full review
    Cons
    Databricks
    • Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
    • It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
    • For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.
    Incentivized
    Read full review
    Informatica
    • There is a moderately steep learning curve
    • Has some idiosyncrasies
    • Can be finicky with date formats
    Incentivized
    Read full review
    Usability
    Databricks
    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
    Incentivized
    Read full review
    Informatica
    There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators
    Incentivized
    Read full review
    Support Rating
    Databricks
    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.
    Read full review
    Informatica
    No answers on this topic
    Alternatives Considered
    Databricks
    The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
    Incentivized
    Read full review
    Informatica
    It is really easy to comply and understand its features.
    Read full review
    Return on Investment
    Databricks
    • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
    • DB has the ability to terminate/time out instances which helps manage cost.
    • The ability to quickly access typical hard to build data scenarios easily is a strength.
    Incentivized
    Read full review
    Informatica
    • Really greatest than any other conventional application.
    Read full review
    ScreenShots