Boomi iPaaS vs Informatica Cloud Data Integration comparison

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Boomi Logo
2,176 views|1,510 comparisons
84% willing to recommend
Informatica Logo
3,500 views|2,815 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Boomi iPaaS and Informatica Cloud Data Integration based on real PeerSpot user reviews.

Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Boomi iPaaS vs. Informatica Cloud Data Integration Report (Updated: July 2023).
771,212 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product's integration features are quite rich and low code. It is easy to use.""Very effective with its drag-and-drop feature.""Low-code development is the most valuable feature.""It's very user-friendly and designed to be easy to use for the end user.""Extremely flexible for any kind of integration between systems.""The product's initial setup phase was easy.""It has been a stable product.""The iPaaS functionality is very mature. The browser based IDE is also very mature and stable."

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"The user interface which is very easy to use if we have any problems to solve.""The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic.""It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades.""The mass ingestion functionality and the elasticity of the solution are great.""I like the fact that you can find almost any product connection that you need and the list is always expanding.""Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job.""The solution's initial setup is quite straightforward.""The solution has the best feature for parameterization."

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Cons
"They should create a custom connector option. With this, they could improve where the user can create the connector, based on their usage.""Lots of enhancements are needed in the API portal so that the developers can view the definitions, try out the APIs, etc.""In my experience, I haven't encountered any major issues with the tool. However, there could be a learning curve for new users, especially depending on which tool you're using. For example, I've used MuleSoft in the past, which is more code-oriented and requires knowledge of Java. Transitioning to Boomi AtomSphere Integration took me a couple of months because of differences in terminology.""There are very few string handling functions and few mathematical functions are available.""The solution is complex. There's a few items and features that are hard to understand. They should work to simplify the functionality so new users don't struggle.""The API can use some work to come up to speed with the competition but Dell has plans and is working on resolving that.""The deployment was simple, but the implementation is missing a lot of capabilities.""In day-to-day operations, tracking transactions is a major challenge. It takes hours to track a single transaction. It is not a straightforward process."

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"The integration process is not easy.""Error reporting and debugging need improvement.""There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another.""Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations.""Connectivity could be improved, it can be a little slow.""I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter.""The price modeling could be more flexible.""While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."

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Pricing and Cost Advice
  • "The Platinum package is good for licensing, but I’m not sure about the cost and improvements."
  • "They do not charge by the number of people using the software (client-server model), but rather they charge based on the number of connections used. This makes it very cost effective."
  • "The licensing model of Dell Boomi is based on a ‘pay-per-use’ model."
  • "This solution is very economical (based on the connections)."
  • "The pricing is a bit complex. While the entry fee may be lower than other solutions, it could be expensive depending on your usage."
  • "When it comes to pricing, it's not so much about being less expensive as it is about how they don't tie to the hardware on the underlined VMware that you run on, as other vendors do"
  • "The cost of the solution is in the neighborhood of $20,000 annually. There are no costs above the standard licensing fee."
  • "Approximately 20k annually."
  • More Boomi iPaaS Pricing and Cost Advice →

  • "It is cost effective and an easily accessible tool."
  • "The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
  • "Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
  • "My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
  • "Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
  • "Its pricing model can be improved."
  • "I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
  • "The price of Informatica Cloud Data Integration could be reduced."
  • More Informatica Cloud Data Integration Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I have worked as an Integration Architect/Developer for many years and have used Mulesoft, Boomi, Informatica, Workato, Celigo, SSIS and many other integration tools.  The tool you would pick depends… more »
    Top Answer:The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for… more »
    Top Answer:Boomi AtomSphere Integration is a relatively cheap and cost-effective product compared to other products like SAP or Oracle. I don't know the exact price of the product.
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge… more »
    Top Answer:When it comes to cloud data integration, this solution can provide you with multiple benefits, including Overhead reduction by integrating data on any cloud in various ways Effective integration of… more »
    Ranking
    Views
    2,176
    Comparisons
    1,510
    Reviews
    11
    Average Words per Review
    397
    Rating
    7.5
    5th
    Views
    3,500
    Comparisons
    2,815
    Reviews
    18
    Average Words per Review
    459
    Rating
    7.7
    Comparisons
    Also Known As
    Boomi
    Learn More
    Overview

    The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.

    Informatica Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

    The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

    Informatica Cloud Data Integration Features

    Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

    • Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.

    • Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.

    • Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.

    • Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.

    • Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.

    • Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.

    • Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.

    • Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.

    • Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.

    • Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

    Informatica Cloud Data Integration Benefits

    Informatica Cloud Data Integration brings multiple benefits to its users. These include:

    • The product offers optimized connectivity to various systems through custom build-connectors.

    • Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.

    • The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.

    • Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.

    • Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.

    • The solution offers consistent experience and unified metadata across all cloud services.

    • Users can leverage enterprise-level performance for integration design with no coding required.

    • Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

    Reviews from Real Users

    Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

    A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

    Sample Customers
    DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
    Chicago Cubs, Telegraph Media Group
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Outsourcing Company8%
    Retailer8%
    Recruiting/Hr Firm8%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm8%
    Manufacturing Company8%
    Retailer6%
    REVIEWERS
    Computer Software Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise13%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Boomi iPaaS vs. Informatica Cloud Data Integration
    July 2023
    Find out what your peers are saying about Boomi iPaaS vs. Informatica Cloud Data Integration and other solutions. Updated: July 2023.
    771,212 professionals have used our research since 2012.

    Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. Boomi iPaaS is rated 7.8, while Informatica Cloud Data Integration is rated 7.8. The top reviewer of Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". On the other hand, the top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and AWS Glue, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform. See our Boomi iPaaS vs. Informatica Cloud Data Integration report.

    We monitor all Integration Platform as a Service (iPaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.