Informatica Cloud Data Integration vs SnapLogic comparison

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Informatica Logo
3,500 views|2,815 comparisons
88% willing to recommend
SnapLogic Logo
2,326 views|1,489 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Cloud Data Integration vs. SnapLogic Report (Updated: May 2024).
772,649 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 mass ingestion functionality and the elasticity of the solution are great.""The product is scalable and excellent for enterprise-level organizations.""The support is very good.""The product improves data quality.""It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten.""Data synchronization tasks.""The user interface which is very easy to use if we have any problems to solve.""The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."

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"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake.""You can use other languages, such as Python, and easily connect to other systems.""The connection with SOAP is the best feature.""I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities.""It is a scalable solution.""It's more developer-friendly, and development can be done at a faster phase.""SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily.""The API architecture makes it easy for orchestration."

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Cons
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price.""Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them.""I would like to see support for more data sources.""There may be some types of limitations with the performance.""Its pricing model can be improved. The response time from technical support can also be improved.""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.""While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag.""The biggest challenge I see is the IDE's for the cloud and automization are different."

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"The solution isn't ideal for complex processing or logic. We use another solution for that.""SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps.""I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market.""The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy.""I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections.""One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping.""What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.""Ultra Pipelines provides real-time ingestion but it needs some adjustment."

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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."
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  • "It is a higher initial cost than other easy-to-use integration apps."
  • "They have pricing/usage tiers that are easy to move up or down."
  • "SnapLogic is not expensive. It's reasonably priced."
  • "The cost with SnapLogic is an annual license and better than Informatica."
  • "By scaling the solution incrementally the cost is controlled and more beneficial to the client."
  • "The license model is based on consumption."
  • "I used the free trial."
  • "SnapLogic's price is high compared to the other tools available in the market."
  • More SnapLogic Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
    Top Answer:The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy, unlike with MuleSoft, which is much easier and also provides a… more »
    Top Answer:I work as a solution architect, mainly focusing on integrating new software entities. Due to a client's needs to evaluate products, SnapLogic was considered, and we conducted some Proof of Concepts… more »
    Ranking
    5th
    Views
    3,500
    Comparisons
    2,815
    Reviews
    18
    Average Words per Review
    459
    Rating
    7.7
    7th
    Views
    2,326
    Comparisons
    1,489
    Reviews
    14
    Average Words per Review
    715
    Rating
    8.0
    Comparisons
    Also Known As
    DataFlow
    Learn More
    Overview

    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.

    The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

    Sample Customers
    Chicago Cubs, Telegraph Media Group
    Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
    Top Industries
    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%
    REVIEWERS
    Transportation Company30%
    Retailer20%
    Manufacturing Company10%
    Pharma/Biotech Company10%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Manufacturing Company11%
    Computer Software Company11%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business48%
    Midsize Enterprise17%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise12%
    Large Enterprise75%
    Buyer's Guide
    Informatica Cloud Data Integration vs. SnapLogic
    May 2024
    Find out what your peers are saying about Informatica Cloud Data Integration vs. SnapLogic and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while SnapLogic is ranked 7th in Cloud Data Integration with 21 reviews. Informatica Cloud Data Integration is rated 7.8, while SnapLogic is rated 8.0. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of SnapLogic writes "Easy to set up, easy to use, and is low-code". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Matillion ETL, whereas SnapLogic is most compared with AWS Glue, IBM InfoSphere DataStage, Azure Data Factory, SSIS and Alteryx Designer. See our Informatica Cloud Data Integration vs. SnapLogic report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration 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.