Informatica Cloud Data Integration vs Matillion ETL vs Talend Open Studio comparison

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Informatica Logo
3,500 views|2,815 comparisons
88% willing to recommend
Matillion Logo
3,247 views|2,215 comparisons
95% willing to recommend
Talend Logo
12,417 views|9,443 comparisons
97% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Integration, Matillion ETL, and Talend Open Studio 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).
769,630 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
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful.""The serverless capability and the packaging application of the solution are valuable.""The product is scalable and excellent for enterprise-level organizations.""It has a more UI-based tool, and the scripting is good.""It has become an easy way to exchange information through any cloud application.""It is one of the best tools available for data integration.""It is quite easy to use and flexible.""Data synchronization tasks."

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"It is pretty user-friendly, even for people who aren't super technical.""The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python.""Matillion ETL helps manage data movement, ingestion, and transformation through pipelines.""It's highly scalable. It takes upon itself the Redshift scalability, so it's very good.""The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple.""It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth""It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs.""It has good integrations with Amazon Redshift and other AWS services."

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"There are many architectures: hybrid, cloud, and on-prem.""We're sold on the customization part of the solution.""Talend Studio has the ability to use it to ensure data quality.""Talend is safe to use because it is very restrictive. It is easy to use when one learns how to manipulate data with SQL.""The main differentiator that I have seen between Talend and other data integration tools is the ability to view the data pipeline in the form of a program.""The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily.""The API integration and big data approach are very good because of how you extract data from JSP files or big data web repositories like MongoDB.""The initial setup was quite straightforward. The deployment took between two and three days."

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Cons
"The cloud version could be better in terms of pricing.""The biggest challenge I see is the IDE's for the cloud and automization are different.""We would like to have accessibility to the repository.""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.""Cost-wise, it could be better.""The error information provided is not informative, as compared to Power Center.""The integration process is not easy.""It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."

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"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features.""I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly.""I am looking forward to seeing the expansion of the source range for their data loader product.""One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems.""The product must enhance its near-real-time data capture feature.""It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database.""When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience.""Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."

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"Multiple products are there within the product suite. That can be actually trimmed down.""I would say that writing to JSON is kind of a pain. It reads from a JSON file pretty well, but writing to a JSON file is not so great because its components are not good.""The documentation is lacking within the product. They need to get better at all aspects of describing how it works and how to use it.""We need more components to be more efficient. We use a lot of components, such as Salesforce, and it's not easy to use. There's are minor bugs and it's not easy to use some of the features.""The server-side should be completely revamped.""Talend Open Studio has a lot of capabilities, but there is some restriction. For example, if we want to connect to an SAP system, Open Studio cannot do it. We need to go with an enterprise version. Additionally, the monitoring features could improve.""In the next release, Open Studio should include cloud storage as an input.""I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."

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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 have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
  • "It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
  • "The prices needs to be lower."
  • "It was very easy to purchase through the AWS Marketplace, but it was also expensive."
  • "Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
  • "It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
  • "The AWS pricing and licensing are a cost-effective solution for data integration needs."
  • "It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
  • More Matillion ETL Pricing and Cost Advice →

  • "Pricing and licensing are fairly straightforward. It is reasonably priced and managed."
  • "Talend is free and you can download it."
  • "The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
  • "Price could be lower. It is getting too expensive when compared to some other solutions, which is actually a little bit concerning."
  • "There are many versions available and one is open-sourced which is free."
  • "The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
  • "It does the job well for nothing — without cost. That's the advantage of this product."
  • "Talend Open Studio is priced too high."
  • More Talend Open Studio 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:The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
    Top Answer:The pricing depends on what edition the customer opts for. For example, a standard edition and then business critical of… more »
    Top Answer:One of the features that's in development is data privacy in the cloud, along with further SAP integration. For… more »
    Top Answer:We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from… more »
    Top Answer:It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source… more »
    Top Answer:The product’s pricing is reasonable. It has an annual subscription.
    Ranking
    5th
    Views
    3,500
    Comparisons
    2,815
    Reviews
    18
    Average Words per Review
    459
    Rating
    7.7
    4th
    Views
    3,247
    Comparisons
    2,215
    Reviews
    13
    Average Words per Review
    687
    Rating
    8.6
    5th
    out of 101 in Data Integration
    Views
    12,417
    Comparisons
    9,443
    Reviews
    15
    Average Words per Review
    559
    Rating
    7.9
    Comparisons
    Also Known As
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    Open Studio
    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.

    Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency. 

    The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.

    Talend Open Studio is a free, open source ETL tool for data integration and Big Data. The solution enables you to extract diverse datasets and normalize and transform them into a consistent format which can be loaded into a number of third-party databases and applications.

    Talend Open Studio Features

    Talend Open Studio has many valuable key features. Some of the most useful ones include:

    • Automatic identification of data types and potential errors
    • tMap module
    • Graphical conversion tools
    • Charts
    • Database SCD Tools
    • Business intelligence formats (Jasper, OLAP, SPSS, Splunk)
    • ETL and ELT support
    • Eclipse-based development tooling
    • Versioning
    • Large library of connectors
    • Data flow orchestration
    • File management without scripting
    • Data transformations

    Talend Open Studio Benefits

    There are several benefits to implementing Talend Open Studio. Some of the biggest advantages the solution offers include:

    • Reduces the time taken to develop the integration.
    • Provides a wide selection of source and target connectors.
    • Monitor and manage problematic deployments with ease.
    • Allows developers to have the lowest cost of ownership for any solution.
    • Improves collaboration between different teams who need access to data.
    • Automated data integration process synchronizes the data and eases real time and periodic reporting, which would be time-consuming if done manually.
    • Achieve better data quality because data matures and improves over time.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Talend Open Studio solution.

    Elio B., Data Integration Specialist/CTO at Asset messages, says, "The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."

    A Practice Head, Analytics at a tech services company mentions, “The data integration aspect of the solution is excellent. The product's data preparation features are very good. There's very useful data stewardship within the product. From a technical standpoint, the solution itself is pretty good. There are very good pre-built connectors in Talend, which is good for many clients or businesses, as, in most cases, companies are dealing with multiple data sources from multiple technologies. That is where a tool like Talend is extremely helpful.”

    Prerna T., Senior System Executive at a tech services company, comments, “The best thing I have found with Talend Open Studio is their major support for the lookups. With Salesforce, when we want to relate our child objects to their parent object, we need to create them via IDs. Then the upsert operation, which will allow you to relate a child object to the event, will have an external ID. That is the best thing which keeps it very sorted. I like that.”

    An Implementation Specialist, Individual Contributor at a computer software company, states, “I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields.” He also adds, “It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool.”

    PeerSpot user Badrakh V., Information System Architect at Astvision, explains, "The most valuable features are the ETL tools."

    Sample Customers
    Chicago Cubs, Telegraph Media Group
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    Almerys, BF&M, Findus
    Top Industries
    REVIEWERS
    Computer Software Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    REVIEWERS
    Manufacturing Company33%
    Financial Services Firm33%
    Healthcare Company8%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company8%
    Government8%
    REVIEWERS
    Computer Software Company29%
    Insurance Company12%
    Financial Services Firm12%
    University12%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company7%
    Government6%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business22%
    Midsize Enterprise35%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    REVIEWERS
    Small Business42%
    Midsize Enterprise25%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise66%
    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.
    769,630 professionals have used our research since 2012.