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Talend Data Integration

Score9.9 out of 10

73 Reviews and Ratings

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What is Talend Data Integration?

The Talend Integration Suite, from Talend, is a set of tools for data integration.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Talend Data Integration has to offer, as determined by TrustRadius' reviewers.
Based on 73 ratings of Talend Data Integration's features
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Top Performing Features

  • Connect to traditional data sources

    Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

    Category average: 8.7

  • Metadata management

    Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

    Category average: 7.9

  • Integration with MDM tools

    Integration with master data management tools to ensure data consistency across the organization

    Category average: 7.8

Areas for Improvement

  • Testing and debugging

    Tool to debug and tune for optimal performance

    Category average: 6.9

  • Business rules and workflow

    Ability to define and manage business rules and workflows

    Category average: 8.2

  • Integration with data quality tools

    Integration with tools for cleansing, parsing and normalizing data according to business rules

    Category average: 7.9

Reviews

What users are saying about Talend Data Integration.
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Talend Data integration at ease.

Incentivized
Verified User
Employee in Information Technology (5001-10,000 employees employees)

Use Cases and Deployment Scope

Data integration is a key to our organization's analytics needs. After applying business logic and transformation, we integrate data from multiple applications and store that in a typical data warehouse. So, Talend Data integration helps us solve this use case. Also, we integrate data between applications for business use cases; this is also taken care of by Talend.

Pros

  • End-to-end ETL flow with transformation.
  • It is easy to create a pipeline with available in-built components.
  • Connectors are available for many applications.
  • Data quality checks are made simple.
  • Manual data transformation can be done using Java coding.

Cons

  • Connectors for new applications in the market.
  • Default template jobs for a quick start.
  • More default data quality components.

Return on Investment

  • Increased overall performance.
  • It helps to make decisions swiftly.
  • It is easy to implement the required integration, which saves a lot of time and money.
  • Increased productivity.

Usability

Alternatives Considered

Informatica Intelligent Cloud Integration Services, Boomi and AWS Data Pipeline

Other Software Used

Snowflake, Workday Financial Management, Workiva, NetSuite ERP, AWS Glue, GitHub, Miro, Lucid Visual Collaboration Suite, DocuSign CLM, Salesforce Experience Cloud, Fivetran, Udemy Business

Awesome Product intelligence tool.

Incentivized
Shishir ChadhaView profile
Director in Information Technology at Exusia (501-1000 employees employees)

Use Cases and Deployment Scope

Talend is helping us in getting the data extracted from mediation (Telecom) and transforming it into reports like Prepaid recharge master and credit limit enhancement. Products are also configured and used as a lookup for charging. We have also integrated Talend Product Intelligence with Tableau for region-wise revenue dashboards. For senior management.

Pros

  • Helps data transformation for dashboard creations.
  • Helps in decision making.
  • Helps detecting revenue leakage.

Cons

  • Pricing for sure can be the area for improvement.
  • Real time processing is slow as compared to other tools like Abinitio.
  • While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.

Return on Investment

  • We were able to achieve our desired operations for product cataloging and revenue leakage detection. For that, Talend is commendable.
  • Downside is that it's a bit slow .
  • Not recommended for real time processing.

Alternatives Considered

Informatica MDM - Product 360 (PIM)

Other Software Used

Tableau Desktop, Microsoft Power BI, AWS CloudFormation

Enterprise and complex platform with Talend

Incentivized
Silvia GuardiniView profile
Manager in Information Technology at SDG Group Italy (201-500 employees employees)

Use Cases and Deployment Scope

We used Talend to implement an Enterprise Data Warehouse (EDW) that could contain all Supply Chain information in order to create an evolved reporting system. Moreover, we needed a flexible tool to extract and elaborate data, but also run external processes like data science algorithms that had to predict selling forecasts and raw materials supply to create some new KPIs for the production office.

Pros

  • Extract from source systems
  • Elaborate data
  • Run external processes
  • Can be used in a cloud solution

Cons

  • Support not as strong as other vendors.
  • If you want to use it in the best way you need to be able to do some programming.
  • With ETL component you cannot join tables from different schemas.

Return on Investment

  • Reporting accessibility faster: data are elaborated and ready for reporting in a couple of hours each night for a medium-big company.
  • Prediction analysis more accurate as they are elaborated with Talend and Data Science algorithms.
  • Higher costs with Enterprise Solution.

Alternatives Considered

Matillion, IBM InfoSphere DataStage, Oracle Data Integrator and SAP Data Services

Other Software Used

Matillion, MicroStrategy Analytics, Snowflake

Amplify product intelligence with Talend

Incentivized
Nitika DhingraView profile
Data Modeler in Information Technology at Safeway (10,001+ employees employees)

Use Cases and Deployment Scope

We are basically bringing data from multiple places to the EDW using Talend. We are stitching data from multiple places to have a unified business view so that we can understand the overall business performance.We primarily use it to consolidate data from several different databases. E.g. we used Oracle Database, Salesforce, Sugar CRM, SQL DB, MQ, FTP, Netezza, and Files using Talend Data Integration. We also migrate a lot of data between the system on a one-time basis.

Pros

  • We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
  • We leverage Talend transformation capabilities for stitching the data , unions and join
  • We successfully created the final unified set that can be used by business

Cons

  • We were able to produce Good visualization by created curated data sets but it takes lot of time.
  • Talend has a ok user experience but there is ample scope of improvement in documentation and CX.
  • Talend can help uses by providing better error messages

Return on Investment

  • Talend helped us in saving by Improved our time to deliver by 10%
  • Talend saved lot by reducing resource utilizations
  • Talend helped us in long term by building easily maintainable and usable assets

Alternatives Considered

Amplitude Analytics

Other Software Used

Amplitude Analytics, Sprig

Talented Talend for your enterprise!

Incentivized
Anjum AroraView profile
Group ICT Head - Technology & Applications in Information Technology at East-West Seed (1001-5000 employees employees)

Use Cases and Deployment Scope

Talend is used at EWS to integrate data between our MS SQL Reporting Server (ERP & Exact Global) and Cloud Apps like Cropin & SalesForce. We implemented it in 2018 and it’s proved to be highly efficient & reliable while working on large datasets replacing the custom (.NET coded) solution. It is used as a middleware to pass data of Farmers/Growers, Contracts & Fields from Reporting Server (ERP) to Cropin and Yield Estimations, Sowing, Transplanting & First Receiving Dates from Cropin to Reporting Server. In other Use cases, it integrates Reporting Server & Exact Global with SalesForce to pass Customer's Information and credit limits, Products & Price List, Accounts & Inventory information.

Pros

  • Highly efficient
  • Reliable while handling large datasets
  • Integrates on-Prem systems with Cloud systems seamlessly

Cons

  • More intuitive UX
  • Increased visibility would serve the product well too

Return on Investment

  • It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.
  • 40K+ plots data, covering 1K+ crop varieties.
  • 3K+ Customer & their credit data, 3K+ product inventory & pricing.

Alternatives Considered

Informatica Cloud Data Integration and Alteryx

Other Software Used

Microsoft Dynamics 365, Exact Global, Salesforce CMS