Talend vs Integrate.io

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

Integrate.io 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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Integrate.io (formerly Xplenty) is an ETL (Extract, Transform, Load) software helping businesses move data between various sources, clean and organize it, and deliver it to analytics platforms. It caters to companies needing to streamline dataflows for insights and reporting. Integrate.io shines with its user-friendly interface, pre-built connectors, and drag-and-drop functionality, making it accessible to non-technical users. Key features include data pipeline building, data transformation tools, and scheduling capabilities. Compared to peers, users praise Integrate.io's intuitive design, ease of use, and vast connector library. However, some mention limited data lineage tracking and high costs for larger data volumes. Pricing varies based on data volume and features needed, typically starting in the hundreds per month and scaling upwards. Consider your data needs and technical expertise when comparing Integrate.io to similar ETL solutions.

Pros
  • User-friendly interface
  • Drag-and-drop functionality
  • Vast connector library
  • Intuitive data mapping
  • Solid customer support
Cons
  • Limited data lineage tracking
  • High costs for larger data volumes
  • Occasional performance issues
  • Customization options can be limited
  • Error handling could be more robust
read more...
$4,800 Annually
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Tailored to your specific needs
$15,000 Annually
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Tailored to your specific needs
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Product Assistance

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Knowledge Base
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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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  • Integrate Business Data: Design sophisticated ETL pipelines by connecting to more than 140 files, data warehouses and systems like Amazon Redshift, Snowflake and Oracle, among others. Scales to add more integrations as they become available — no need to create code or manual data flows. 
  • Understand Market Trends: Integrate customer support data with social media, analytics and CRM systems. Prevent churn by personalizing customer outreach messages based on customer interests and lifecycle stage. 
  • Get Marketing Analytics: Build marketing campaigns and reports with enriched, personalized data. Enables targeted customer outreach by moving data to third-party platforms like CRM through reverse ETL. 
  • Boost Sales: Drive conversion with insights into the customer life cycle gleaned from real-time data. Avoid duplicate and out-of-date information by centralizing sales metrics. Integrates with Stripe, Mixpanel, Hubspot, Salesforce and Google Adwords. 
  • Scale Flexibly: Scale as the business grows, extend capabilities and customize as needed by connecting to RESTful services through APIs. 
  • Secure Data Pipelines: Control access permissions within the organization through SSO and 2FA. Enable 2FA on individual accounts from settings. Uses a time-based one-time-password scheme for the second-factor authentication. Request for SSO enablement and then sign in via enterprise identity provider. 
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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. 
read more...
  • Connectivity Library: Convey business information across locations through no-code and low-code connectors for data warehouses, cloud-based SaaS platforms and databases, including NoSQL data repositories. 
    • API Integrations: Secures the ETL process through seamless RESTful API integrations with more than 100 applications. Processes parallelly massive complex datasets; uses Hadoop MapReduce to distribute computing tasks over several server clusters. 
  • Data Replication: Replicates data in real time through change data capture (CDC) in collaboration with FlyData, a data migration system. Loads data securely to Amazon Redshift and Snowflake in a matter of minutes. 
  • Expressions: Use functions to manipulate the results output by component with the Expression Editor. Schedule packages and workflows with cron expressions. Schedule tasks around active and inactive hours, ensure that important packages are executed on time, and remove the need for manual input. 
  • Reverse ETL: Moves data from data warehouses to third-party systems, transforms it and makes it operational. Connects with other data stack components, eliminating the need to manually build API connectors. 
read more...

Product Ranking

#10

among all
ETL Tools

#26

among all
ETL Tools

Find out who the leaders are

Analyst Rating Summary

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Data Delivery
Data Quality
Data Transformation
Metadata Management
Performance and Scalability
Platform Security
Data Sources and Targets Connectivity
Data Transformation
Data Quality
Metadata Management

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Talend
Integrate.io
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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 57 87 96 91 86 0 67 0 25 50 75 100
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we're gathering data
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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 153 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

Integrate.io has a 'great' User Satisfaction Rating of 87% when considering 153 user reviews from 4 recognized software review sites.

n/a
4.3 (115)
4.19 (22)
4.59 (17)
4.0 (52)
4.6 (16)
4.1 (145)
4.1 (5)
4.1 (51)
n/a

Awards

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

Data Transformation Award

we're gathering data

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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User-Friendly Interface: Visual, drag-and-drop interface makes it accessible to users of all technical levels.
Vast Connector Library: Connects to a wide range of popular data sources and destinations, eliminating the need for custom coding.
Intuitive Data Mapping: Easily map fields between sources and destinations with a visual interface, streamlining the data transformation process.
Solid Customer Support: Responsive and helpful customer support team assists with any issues that arise.
Scalability: Handles large data volumes and complex data flows, making it suitable for growing businesses.
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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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Limited Data Lineage Tracking: Lacks robust tracking of data lineage, making it challenging to trace data's journey from source to destination for auditing and compliance purposes.
High Costs for Larger Data Volumes: Pricing can become expensive for businesses with high data volumes, potentially limiting its affordability.
Occasional Performance Issues: Users have reported occasional slowdowns or lags, especially when dealing with large data sets or complex workflows.
Customization Options Can Be Limited: The pre-built connectors and functionalities might not cater to all specific needs, requiring workarounds for unique use cases.
Error Handling Could Be More Robust: Improved error reporting and troubleshooting tools would enhance user experience, making it easier to identify and resolve issues.
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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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Integrate.io shines amongst ETL tools for its user-friendliness, boasting a visual interface and vast connector library that empowers both technical and non-technical users. This accessibility is a major draw compared to competitors requiring coding expertise, saving time and resources. However, users also cite limitations in data lineage tracking and its higher cost for larger data volumes. While competitors like **Product A** may offer more granular control and customization, users praise Integrate.io's intuitive approach for everyday ETL tasks. This balance between ease of use and functionality is key for businesses needing a streamlined data flow solution without extensive technical overhead. On the other hand, those needing in-depth lineage tracking or handling massive datasets might find competitors like **Product B** more suitable despite their steeper learning curve. Ultimately, user reviews suggest Integrate.io excels in providing an accessible and efficient ETL solution for businesses prioritizing user-friendliness and a wide range of pre-built connectors. If robust data lineage tracking or affordability for massive data volumes are paramount, exploring alternative ETL tools might be necessary.

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Screenshots

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