Talend vs Qlik Talend Data Integration

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Our analysts compared Talend vs Qlik Talend Data Integration based on data from our 400+ point analysis of ETL Tools, user reviews and our own crowdsourced data from our free software selection platform.

Qlik Talend Data Integration Software Tool

Product Basics

Talend is an open-source data integration and management platform that enables big data ingestion, transformation and mapping at the enterprise level. The vendor provides cross-network connectivity, data quality and master data management in a single, unified hub – the Data Fabric. Based on industry standards like Eclipse, Java and SQL, it helps businesses create reusable pipelines – build once and use anywhere, with no proprietary lock-in.

The open-source version is free, with the cloud data integration module available for a monthly and annual fee. The price of Data Fabric is available on request.

Pros
  • Open source & affordable
  • Visual drag-and-drop UI
  • Wide range of connectors
  • Scalable & cloud-ready
  • Active community & support
Cons
  • Steeper learning curve
  • Limited native profiling
  • Customization can be complex
  • Debugging can be challenging
  • Enterprise features require paid editions
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Qlik Talend Data Integration empowers organizations to unify, govern, and integrate data from diverse sources. It shines for businesses grappling with data fragmentation and seeking to establish a trusted data foundation for analytics, AI, and informed decision-making. Key benefits include streamlined data pipelines, automated data quality checks, and real-time data synchronization. Notably, its visual drag-and-drop interface fosters ease of use, while pre-built connectors and code-free transformations accelerate development. Compared to similar tools, user experiences highlight Talend's scalability, flexibility, and robust data governance capabilities. While pricing varies based on specific needs and deployment options, expect a tiered subscription model with per-user or per-month charges.
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$4,800 Annually
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$100 Monthly
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Tailored to your specific needs
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Product Insights

  • Maximize ROI: Save money and time – build data pipelines faster. Lower operational costs with a zero-footprint solution. Build long-term customer associations by making reliable, accurate data available. Reduce risk and ensure regulatory compliance. Get a fast return on investment with its usage-based subscription model. 
  • Make Business Decisions Quicker: Live preview business data and diagnose issues instantly. Refer to dataset documentation to understand how datasets relate and change through the data flow and how variables used in analysis are defined. Transform data while maintaining optimum quality by applying built-in functions across batch and streaming pipelines. 
  • Integrate Big Data: Connect to a variety of data sources with more than 800 data connectors, with native support for Hadoop, MapReduce and NoSQL. Delivers clean, consistent assets at a big data scale. 
  • Deploy Anywhere: Get data from behind firewalls, data centers or in secure cloud environments. Manage data in the public cloud, with self-managed private clouds and on-premise platforms, or go hybrid. 
  • Scale As The Business Grows: Scales as more complex, larger data sets are generated to provide advanced analytics. Works with Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake and Databricks. 
  • Maintain Data Quality: Identify, highlight and fix issues as data moves across systems. Ensure data quality at every stage of the data pipeline with embedded checks. Preempt inconsistencies before they can impact crucial decisions. 
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  • Unified Data Foundation: Break down data silos and seamlessly integrate information from diverse sources like cloud apps, databases, and legacy systems, creating a single, trusted source for analysis and decision-making.
  • Enhanced Data Quality: Ensure data accuracy and consistency through automated cleansing, transformation, and validation processes, minimizing errors and boosting confidence in analytics.
  • Streamlined Data Pipelines: Design and automate dataflows with a drag-and-drop interface and pre-built connectors, accelerating data delivery and reducing manual tasks.
  • Real-time Insights: Gain access to up-to-date data through real-time data synchronization and event-driven triggers, enabling faster response times and agile decision-making.
  • Improved Data Governance: Implement robust data governance policies and access controls to ensure data security, compliance, and lineage tracking.
  • Increased Agility and Scalability: Respond quickly to changing business needs with a highly scalable platform that can handle growing data volumes and evolving data requirements.
  • Enhanced Collaboration: Foster collaboration across teams by providing a unified view of data and facilitating data sharing with intuitive dashboards and reports.
  • Reduced Costs and Improved Efficiency: Optimize data management processes, eliminate data silos, and reduce manual effort, leading to significant cost savings and improved operational efficiency.
  • Simplified Data Integration: Reduce the complexity of data integration with a user-friendly interface, code-free options, and pre-built components, making data accessible to users of all technical skill levels.
  • Data-Driven Decisions: Empower all levels of the organization to make informed decisions based on accurate, reliable, and readily available data, leading to improved business outcomes.
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  • Pipeline Designer: Pull in data to create dashboards that power business insights. Build reusable pipelines to integrate data from any source, then transform it to upload to data warehouses. 
    • DIY Data Workflows: Design and preview data workflows directly in the web browser without IT help. Run pipelines directly where the data lives, with support for disparate filesystems, business apps, databases, data warehouses and messaging services. Automate data stewardship, preparation and cataloging into data pipelines. 
  • Data Inventory: Prepare, consume and share data from a single, centralized hub. Make informed decisions by putting unique, accurate data at the center of business. 
    • View data trustworthiness at a glance with the Trust Score. Aggregates multiple metrics into a single, easy-to-understand score, scaling from 0 to 5. 
    • Flags data silos across sources and resolves the gap with reusable and shareable data assets. 
    • Make data work for you by sharing assets between the data preparation and designer modules. 
  • Talend Open Studio: Handles big data by leveraging Hadoop and its databases, or HBase, HCatalog, HDFS and Hive. Connects to Oracle, Teradata, Microsoft SQL Server, Marketo, Salesforce, Netsuite, SAP, Sugar CRM, Microsoft Dynamics, SMTP, FTP/SFTP, LDAP and more. Provides an Eclipse-based integrated environment (IDE) for system development. 
  • Talend Sandbox: The vendor provides a sandbox environment for data warehouse optimization, clickstream analytics, social media sentiment analysis and Apache weblog analytics. 
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  • Visual Drag-and-Drop Interface: Design and manage data pipelines with a user-friendly interface that requires minimal coding, making data accessible to users of all skill levels.
  • Pre-built Connectors: Easily connect to hundreds of data sources, including cloud applications, databases, legacy systems, and APIs, with readily available connectors.
  • Code-Free Transformations: Perform data cleansing, filtering, and manipulation through intuitive wizards and pre-built components, avoiding complex coding and accelerating development.
  • Data Quality Management: Ensure data accuracy and consistency with automated profiling, cleansing, validation, and enrichment tools, promoting trust in downstream analytics.
  • Real-time Data Synchronization: Access and synchronize data in real-time with event-driven triggers and continuous data flows, enabling immediate insights and agile decision-making.
  • Data Catalog and Lineage Tracking: Maintain a comprehensive catalog of data assets and track data lineage across transformations, fostering data transparency and governance.
  • Job Scheduling and Orchestration: Automate data pipelines through scheduling and orchestration capabilities, including dependencies and error handling, ensuring smooth data delivery.
  • Data Profiling and Monitoring: Analyze data patterns and monitor job performance with robust data profiling and monitoring tools, facilitating informed decision-making and proactive issue resolution.
  • Scalable Architecture: Handle growing data volumes and complex data pipelines with a scalable architecture that supports cloud, on-premises, and hybrid deployments.
  • Data Masking and Security: Implement data security measures, including data masking and access controls, to protect sensitive information and comply with regulations.
  • Application and API Integration: Integrate data with applications and APIs to streamline workflows and automate data exchange, fostering better decision-making within specific business processes.
  • Machine Learning and Artificial Intelligence Integration: Leverage machine learning and AI capabilities within data pipelines for tasks like anomaly detection and data enrichment, driving deeper insights and automation.
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Product Ranking

#10

among all
ETL Tools

#42

among all
ETL Tools

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Analyst Rating Summary

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Data Delivery
Data Quality
Data Transformation
Metadata Management
Performance and Scalability
Metadata Management
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Platform Capabilities
Workflow Management
Data Quality

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Talend
Qlik Talend Data Integration
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Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 100 92 100 100 100 89 84 92 88 71 100 100 93 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 270 reviews
Great User Sentiment 385 reviews
82%
of users recommend this product

Talend has a 'great' User Satisfaction Rating of 82% when considering 270 user reviews from 4 recognized software review sites.

87%
of users recommend this product

Qlik Talend Data Integration has a 'great' User Satisfaction Rating of 87% when considering 385 user reviews from 3 recognized software review sites.

n/a
4.3 (109)
4.19 (22)
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4.0 (52)
4.4 (181)
4.1 (145)
4.4 (95)
4.1 (51)
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Awards

SelectHub research analysts have evaluated Talend and concluded it earns best-in-class honors for Data Transformation.

Data Transformation Award

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Synopsis of User Ratings and Reviews

Simplified Lineage Tracking: Visually map data flows and transformations for enhanced auditability and compliance, ensuring your data journey is clear and transparent.
Centralized Policy Management: Define and enforce data quality, access, and security rules across the organization, fostering a consistent and controlled data environment.
Automated Data Catalog: Discover, document, and govern all data assets for improved data visibility and utilization, empowering your teams to find and leverage the right data.
Streamlined Data Masking & Anonymization: Protect sensitive data during development and testing while preserving data utility, safeguarding privacy and complying with regulations.
Scalable & Collaborative:** Manage data governance across diverse data sources and teams with ease, adapting to your evolving data landscape and fostering collaboration.
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Ease of Use: Drag-and-drop interface and pre-built connectors make data integration accessible even for non-technical users.
Faster Data Delivery: Streamlined pipelines and automated transformations accelerate data integration processes.
Improved Data Quality: Built-in cleansing and validation tools ensure data accuracy and consistency.
Scalability and Flexibility: Handles growing data volumes and adapts to diverse data integration needs.
Strong Data Governance: Robust security features and data lineage tracking promote data privacy and compliance.
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Limited Native Profiling: Lacks built-in tools for advanced data profiling and quality monitoring, requiring additional integrations or third-party tools, increasing complexity and potentially costs.
Steep Learning Curve: Complex UI and configuration can be challenging for beginners, especially non-technical users, requiring significant training and investment in onboarding and ongoing support.
Customization Challenges: Extensive customization options, while offering flexibility, can lead to complexity and maintenance overhead, particularly for large deployments or intricate data governance requirements.
Limited Community Support: While the Talend community is active, it may not be as extensive as other data governance solutions, potentially impacting troubleshooting and knowledge sharing, especially for niche issues or advanced configurations.
Enterprise Features in Paid Editions: Key data governance features like advanced lineage tracking, data masking, and data quality monitoring often require purchasing higher-tiered paid editions, increasing costs and potentially limiting accessibility for organizations with budget constraints.
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Learning Curve for Advanced Features: Mastering complex transformations and customizations can require significant effort.
Performance with Large Datasets: Processing and optimizing very large datasets can be resource-intensive.
Limited Code-Free Customization: Some advanced data manipulations may necessitate manual coding for complete flexibility.
Pricing Complexity: Understanding the tiered pricing structure and potential hidden costs can be challenging.
Smaller Community Support: The user community is smaller compared to some competitors, potentially limiting available resources and peer support.
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Users praise Talend's visual drag-and-drop builder as a major draw, especially when compared to code-heavy platforms like Informatica. "Talend's UI feels much more intuitive and beginner-friendly," one reviewer shared, making it easier to onboard non-technical colleagues. However, its steeper learning curve compared to simpler tools like Snaplogic was also noted, demanding more training and initial investment.Talend's open-source roots and wide range of connectors were lauded, especially for cost-conscious businesses. One user compared it to IBM DataStage, noting "Talend's open-source version offers surprisingly robust functionality, making it a viable alternative for smaller budgets." However, limited native profiling compared to powerful tools like Alteryx was mentioned as a drawback, forcing integration with separate solutions and potentially raising costs.Users appreciated Talend's scalability and cloud-readiness, particularly when contrasted with legacy ETL offerings. "Talend scales seamlessly as our data needs grow," said one reviewer, making it a future-proof investment. However, some found enterprise features locked behind paid editions, like advanced lineage tracking and data quality monitoring, a disadvantage compared to competitors like Boomi that offer these capabilities across the board.Overall, Talend's balance of affordability, user-friendliness, and scalability shines through in user reviews. While it may require deeper initial investment in training and lack certain advanced features out-of-the-box, its flexibility and adaptability make it a strong contender for businesses navigating the evolving data landscape. As one user summed it up, "Talend might not be perfect, but it's a powerful tool that grows with you, and that's what matters most."

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Reviewing user experiences from the past year for Qlik Talend Data Integration paints a mixed picture. Many users praise its user-friendly interface, pre-built connectors, and streamlined data pipelines, making it accessible even for non-technical professionals. This ease of use, coupled with faster data delivery and improved data quality through automated cleansing, is a major draw for businesses seeking to break down data silos and gain quicker insights. However, some users highlight limitations that can be dealbreakers for complex data integration needs. Mastering advanced features and customizations can require a steep learning curve, and performance with exceptionally large datasets may necessitate optimization and resource allocation. Additionally, while code-free options are extensive, some advanced transformations may require manual coding for complete flexibility. When compared to similar products, Qlik Talend shines in its visual drag-and-drop interface and robust data governance capabilities. Users also appreciate its strong scalability and flexibility, making it adaptable to diverse data integration needs. However, some find its pricing structure complex and its community support smaller compared to competitors. Ultimately, the decision to choose Qlik Talend Data Integration hinges on individual needs and priorities. For businesses seeking a user-friendly and efficient solution for basic to moderate data integration tasks, it's a strong contender. However, those with complex data landscapes and specialized requirements may need to weigh its strengths and limitations against other options before making a final call.

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