Fivetran vs Qlik Talend Data Integration

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Our analysts compared Fivetran 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

Fivetran is a cloud-native data extraction tool that simplifies and streamlines the data analysis process with a zero-maintenance pipeline that ensures expedient, transparent delivery of data from source to warehouse. Built to empower analysts, it allows users to accelerate analytics and achieve faster time-to-insights without the need for complex engineering, promoting more efficient data-driven decision-making for users of all technical skill levels.

Suitable for small to large companies, it is a public-cloud hosted SaaS available through annual subscriptions, paid via invoice. Pricing is volume based with three tiers of plans, in ascending order of offerings and cost: Starter, Standard and Enterprise.

Pros
  • Easy to use interface
  • Connects to many data sources
  • Fast and reliable data pipelines
  • Centralized data management
  • Scalable for large data volumes
Cons
  • Limited customizability
  • Can be expensive for complex needs
  • Not ideal for real-time data
  • Limited support for data transformations
  • Learning curve for advanced features
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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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$55 Monthly
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$100 Monthly
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Tailored to your specific needs
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Product Assistance

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24/7 Live Support
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Product Insights

  • Five-Minute Setup: The platform boasts a zero-maintenance configuration process that can have users up and running in 10 clicks.
  • Data Simplified: Users can simplify their data stack with streamlined data extraction and preparation processes, allowing for more accurate and efficient access to analytics.
  • Optimized Loading: Automatic updates reduce data entry tasks and ensure real-time accuracy across storage facilities. The platform also reduces workloads on cloud data warehouses by putting the brunt of demand on their servers instead of the warehouses’. 
  • Centralize Data: The solution helps users to extract data from disparate sources and load it into their data warehouse to create a single, cohesive source of truth in the cloud.
  • Flexibility: Standing apart from many traditional data tools, Fivetran utilizes ELT (extract, load, transform) over ETL (extract, transform and load). By flipping the last two steps of the process and postponing data transformation, it ensures that stored data won’t be compromised by transformations, allowing users to perform analysis more deliberately and securely.
  • Smooth Integrations: Integration with other systems is intuitive and smooth with this platform. Its seamless data sync allows users to draw data from their CRM, ERP or other business solutions as well as a range of cloud data sources, allowing for real-time monitoring.
  • Data Security: The system has advanced security features and is compliant with PCI, HIPAA, GDPR and SOC 2 standards. It also encrypts data in motion and at rest, purging data after every sync. 
  • Built to Scale: The platform helps users navigate a world of exponential data growth, with instantly scalable cloud resources, optimized processes and pricing plans that keep up with companies as they grow. 
  • Free Trial: Interested buyers can receive a free 14-day trial of the platform to test connectors and features by signing up on the vendor’s website. Users can add up to two sources and set up an unlimited number of connectors for those sources, pointing to one destination. Users interested in adding more sources or destinations can contact the Fivetran sales team for more information.
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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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  • Data Connectivity: The solution has data connectors for 100 sources, with the option for users to create their own data connector to APIs not yet natively supported. It directly pulls information from cloud applications. Users can also upload or email files into a cloud storage service and have that data loaded into their warehouse. The system reflects changes made to live files such as Google Sheets.
  • Extract Data: The solution connects natively to over 100 SaaS sources, automatically extracting information from those sources after an admin has granted the tool access through OAuth. The system normalizes, cleanses and standardizes data before loading.
  • Data Sync: Upon connection, the system performs a historical sync. From there, instead of arduously reloading full data dumps from APIs and databases, the solution optimizes loadings by incrementally updating data sources in batches, with data load time configurable as frequently as five minutes and as infrequent as every 24 hours.
  • Load into Cloud Data Warehouses: Fivetran supports modem cloud warehouses like BigQuery, Snowflake, Azure and Redshift.
  • Transform Data: The platform preps data, normalizing schemas from APIs, so that it can be analyzed instantly. Transformations always happen in the warehouse so that the raw data is always available alongside the transformed data; data will never be lost and the transformations can be edited and run again on the raw data.
  • Alerts: The system notifies users if there are delays or issues in any step of the process.
  • Dashboards: Users interact with the platform via dashboards that display information about ELT processes in a visual, easy-to-digest format.
  • System Logs: The solution maintains transparency with granular system logs of every sync that users can cross-reference in their own logging system.
  • Metadata Management: A suite of policies and procedures allows users to manage the data which describes other data such as file size, date of data creation, tags, titles, authors, etc.
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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

#7

among all
ETL Tools

#42

among all
ETL Tools

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Analyst Rating Summary

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92
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88
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Platform Capabilities
Platform Security
Metadata Management
Data Transformation
Data Sources and Targets Connectivity
Metadata Management
Performance and Scalability
Platform Capabilities
Workflow Management
Data Quality

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Fivetran
Qlik Talend Data Integration
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 86 75 93 94 96 100 81 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

83%
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User Sentiment Summary

Excellent User Sentiment 28 reviews
Great User Sentiment 385 reviews
92%
of users recommend this product

Fivetran has a 'excellent' User Satisfaction Rating of 92% when considering 28 user reviews from 2 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)
4.64 (14)
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4.6 (14)
4.4 (181)
n/a
4.4 (95)

Awards

Fivetran stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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Synopsis of User Ratings and Reviews

Effortless Data Integration: Connects to hundreds of data sources with pre-built connectors and minimal setup.
Automated Data Pipelines: Schedules and runs data transfers reliably, freeing up time for analysis.
Centralized Data Management: Provides a single source of truth for all your data, simplifying reporting and decision-making.
Scalable for Growth: Handles large data volumes with ease, adapting to your evolving needs.
Improved Data Visibility: Makes data readily available for everyone in your organization, fostering data-driven decision-making.
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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 Customizability: Relies on pre-built connectors, making complex data pipelines or transformations challenging.
Costly for Advanced Needs: Pricing scales with data volume and complexity, becoming expensive for intricate ETL processes.
Batch-Oriented Transfers: Focuses on scheduled data refreshes, not ideal for real-time needs or low-latency pipelines.
Basic Data Transformations: Offers limited built-in transformations, requiring additional tools for complex data manipulation.
Advanced Feature Learning Curve: Mastering custom connectors, scripting, or other advanced features requires technical expertise.
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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 Fivetran for its ease of use and effortless data integration. "Setting up connectors is straightforward," one reviewer comments, "like plugging in appliances." This plug-and-play simplicity sets it apart from competitors like Stitch, often lauded for its flexibility but criticized for a steeper learning curve. However, Fivetran's strength in pre-built connectors comes at a cost: limited customizability. While users love its "seamless data movement," another user points out it's "not ideal for complex transformations," requiring additional tools that negate its initial ease. This lack of advanced ETL capabilities puts it behind platforms like Informatica PowerCenter, but at a fraction of the cost. Ultimately, Fivetran shines for its user-friendly approach and reliable data pipelines, perfect for businesses prioritizing simplicity and scalability. But for complex data manipulation or real-time needs, users might find themselves yearning for the power and flexibility of other ETL solutions.

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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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