Informatica Cloud Data Integration vs Oracle GoldenGate Cloud Service vs Workato comparison

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Informatica Logo
3,500 views|2,815 comparisons
88% willing to recommend
Oracle Logo
264 views|228 comparisons
100% willing to recommend
Workato Logo
1,695 views|1,025 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Integration, Oracle GoldenGate Cloud Service, and Workato based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: April 2024).
771,170 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
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades.""The product improves data quality.""Informatica Cloud Data Integration is stable.""The most valuable feature is the building of mockups and tasks.""The serverless capability and the packaging application of the solution are valuable.""It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten.""I like the fact that you can find almost any product connection that you need and the list is always expanding.""The mass ingestion functionality and the elasticity of the solution are great."

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"GoldenGate's best features are the desktop security features.""GoldenGate can aggregate various data types from different sources.""This has significantly eased the process of migration from on-premise to cloud. Instead of configuring everything from the ground up, the Oracle GoldenGate Cloud Service has made it seamless to build and render databases in cloud.""Scalability-wise, I rate the solution a ten out of ten."

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"Stability-wise, I rate the solution a ten out of ten.""Workato is low code, intuitive, and easy to use.""It's easy to understand, makes flows and is efficient.""The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform.""It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product.""Their automation and workflows are very strong, and you can build the workflows very easily and quickly.""It is easier to use than other technical open-source technologies."

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Cons
"I have received feedback from certain teams and there is a steep learning curve to use this solution.""A general improvement in icons and the virtual interface would be good.""I would also like to have profiling functionalities and quality transformations in the cloud.""I would like to see support for more data sources.""There may be some types of limitations with the performance.""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.""It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality.""Certain shortcomings in the product's UI make it an area where improvements are required."

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"More technical documentation is needed, especially in terms of mapping and conversion of data, while integration would also be very helpful.""Oracle GoldenGate Cloud Service lacks AI. If AI gets introduced in Oracle GoldenGate Cloud Service, it would be much easier to do analysis.""Oracle is always adding new features. I can't think of anything that's urgent currently.""The initial setup was a little complex, and we required support from Oracle to complete it."

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"A limitation is that their cloud presence is only in North America and Europe.""The management dashboard in the solution is an area with shortcomings that needs improvement.""Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations.""It is tedious to make a tailor-fit function.""From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems.""The only minor drawback would be if there was a UI at the front of it, for apps and for a portal as well, it would make it really easy. It would be really useful if there were more apps capabilities.""I would like to see the dashboarding and reporting processes improved."

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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."
  • More Informatica Cloud Data Integration Pricing and Cost Advice →

  • "I rate the product price a six on a scale of one to ten, where one is cheap, and ten is expensive."
  • More Oracle GoldenGate Cloud Service Pricing and Cost Advice →

  • "On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."
  • "Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."
  • "Workato is an expensive solution."
  • More Workato 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… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a… more »
    Top Answer:When it comes to cloud data integration, this solution can provide you with multiple benefits, including Overhead… more »
    Top Answer:Scalability-wise, I rate the solution a ten out of ten.
    Top Answer:I rate the product price a six on a scale of one to ten, where one is cheap, and ten is expensive. It is neither too… more »
    Top Answer:Oracle GoldenGate Cloud Service lacks AI. If AI gets introduced in Oracle GoldenGate Cloud Service, it would be much… more »
    Top Answer:Workato is low code, intuitive, and easy to use.
    Top Answer:Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be… more »
    Top Answer:We use Workato for iPaaS, which is like a middleware enterprise service bus. We use it for transformation, quick data… more »
    Ranking
    5th
    Views
    3,500
    Comparisons
    2,815
    Reviews
    18
    Average Words per Review
    459
    Rating
    7.7
    19th
    Views
    264
    Comparisons
    228
    Reviews
    3
    Average Words per Review
    344
    Rating
    8.3
    Views
    1,695
    Comparisons
    1,025
    Reviews
    7
    Average Words per Review
    577
    Rating
    8.1
    Comparisons
    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.

    GoldenGate Cloud Service is a cloud based real-time data integration and replication service, which provides seamless data movement from various on-premises relational databases to databases in the cloud while maintaining data consistency and offering fault tolerance and resiliency.

    Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.

    The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.

    Start your 30-day free trial here.

    Sample Customers
    Chicago Cubs, Telegraph Media Group
    FORTH, Capital One
    Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute
    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%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Government9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Educational Organization38%
    Computer Software Company12%
    Financial Services Firm7%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise80%
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise46%
    Large Enterprise40%
    Buyer's Guide
    Cloud Data Integration
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
    771,170 professionals have used our research since 2012.