Azure Databricks vs. Informatica Cloud Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.7 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
Informatica Cloud Data Integration
Score 7.1 out of 10
N/A
Informatica 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
Azure DatabricksInformatica Cloud Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksInformatica 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
Azure DatabricksInformatica Cloud Data Integration
Features
Azure DatabricksInformatica Cloud Data Integration
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.1
Ratings
3% below category average
Informatica Cloud Data Integration
-
Ratings
Connect to Multiple Data Sources6.20 Ratings00 Ratings
Extend Existing Data Sources9.00 Ratings00 Ratings
Automatic Data Format Detection9.00 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.4
Ratings
27% below category average
Informatica Cloud Data Integration
-
Ratings
Visualization5.90 Ratings00 Ratings
Interactive Data Analysis6.90 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.0
Ratings
2% below category average
Informatica Cloud Data Integration
-
Ratings
Interactive Data Cleaning and Enrichment7.00 Ratings00 Ratings
Data Transformations9.00 Ratings00 Ratings
Data Encryption9.00 Ratings00 Ratings
Built-in Processors7.10 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.3
Ratings
1% below category average
Informatica Cloud Data Integration
-
Ratings
Multiple Model Development Languages and Tools8.10 Ratings00 Ratings
Automated Machine Learning9.00 Ratings00 Ratings
Single platform for multiple model development8.00 Ratings00 Ratings
Self-Service Model Delivery8.00 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.5
Ratings
0% below category average
Informatica Cloud Data Integration
-
Ratings
Flexible Model Publishing Options8.00 Ratings00 Ratings
Security, Governance, and Cost Controls9.00 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Databricks
-
Ratings
Informatica Cloud Data Integration
9.0
Ratings
7% above category average
Connect to traditional data sources00 Ratings9.00 Ratings
Connecto to Big Data and NoSQL00 Ratings9.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Databricks
-
Ratings
Informatica Cloud Data Integration
9.0
Ratings
10% above category average
Simple transformations00 Ratings9.00 Ratings
Complex transformations00 Ratings9.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Databricks
-
Ratings
Informatica Cloud Data Integration
9.0
Ratings
12% above category average
Data model creation00 Ratings9.00 Ratings
Metadata management00 Ratings9.00 Ratings
Business rules and workflow00 Ratings9.00 Ratings
Collaboration00 Ratings9.00 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Databricks
-
Ratings
Informatica Cloud Data Integration
9.0
Ratings
10% above category average
Integration with data quality tools00 Ratings9.00 Ratings
Integration with MDM tools00 Ratings9.00 Ratings
Best Alternatives
Azure DatabricksInformatica Cloud Data Integration
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
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User Ratings
Azure DatabricksInformatica Cloud Data Integration
Likelihood to Recommend
9.8
(0 ratings)
9.0
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksInformatica Cloud Data Integration
Likelihood to Recommend
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
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Its best for the people who are less exposed to programming and even Informatica Cloud Data Integration is trying hard to make it less code or no code. They have more than 300+ connection support to third party applications which make them unique in the data and analytics field. They have some bugs in glitch on which they are continuously working.
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Pros
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
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  • Data synchronisation
  • Data replication
  • Data integration
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Cons
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
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  • There is a moderately steep learning curve
  • Has some idiosyncrasies
  • Can be finicky with date formats
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Usability
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
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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
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Alternatives Considered
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
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We also use Demand Tools from Validity. Demand Tools is a simpler tool and is easier for business users to comprehend. It has less of a learning curve. However, it is not nearly as powerful or feature - rich as Informatica. Also, the scheduled job functionality of Informatica is more robust
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Return on Investment
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
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  • Informatica allows our system administrators to perform numerous data tasks without having to engage developers.
  • Scheduling functionality is a huge time saver. Email notifications alert us to any errors encountered.
  • Reduces duplicate records and manual cleanup
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ScreenShots