AWS Glue vs Integrate.io

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Our analysts compared AWS Glue 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

AWS Glue is a fully managed, event-driven serverless computing platform that extracts, cleanses and organizes data for insights. Automatic code generation ensures citizen data scientists and power users can create and schedule integration workflows. An event-driven architecture enables setting triggers to launch data integration processes.

A common data catalog with automatic schema generation ensures data is unique and easily accessible. With streaming data integration, it catalogs assets from datastores like Amazon S3, making it available for querying with Amazon Athena and Redshift Spectrum. Developers can access readymade endpoints to edit and test code.

Pros
  • Serverless & Scalable
  • Easy Visual Workflow
  • Built-in Data Connectors
  • Pay-per-Use Pricing
  • AWS Ecosystem Integration
Cons
  • Complex Transformations
  • Limited On-Premise Data
  • Python & Scala Only
  • Potential Cost Overruns
  • AWS Lock-in Concerns
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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
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Product Assistance

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Product Insights

  • Effortless Data Integration: Streamline data movement across diverse sources like databases, applications, and cloud storage with pre-built connectors and automated schema discovery.
  • Simplified Data Preparation: Clean, transform, and enrich data with a visual drag-and-drop interface and built-in transformations, eliminating the need for complex coding.
  • Serverless Scalability: Forget infrastructure management! Glue seamlessly scales to handle massive data volumes without upfront provisioning or ongoing maintenance.
  • Cost-Effective Flexibility: Pay-per-use pricing based on actual resource consumption makes Glue ideal for both small and large data pipelines, optimizing your costs.
  • Seamless AWS Integration: Leverage the power of the AWS ecosystem! Glue effortlessly integrates with S3, Redshift, and other AWS services, creating a unified data pipeline within your existing infrastructure.
  • Improved Data Accessibility: Deliver prepared data to data lakes, data warehouses, and analytics platforms, democratizing access for data scientists, analysts, and business users.
  • Enhanced Collaboration: Share data pipelines and workflows with other users and teams, fostering collaboration and streamlining data-driven workflows.
  • Centralized Data Catalog: Maintain a single source of truth for your data assets with Glue Data Catalog, ensuring data consistency and discoverability.
  • Continuous Monitoring and Optimization: Track job performance, identify bottlenecks, and optimize your pipelines for efficiency with built-in monitoring and logging tools.
  • Future-Proof Data Infrastructure: Stay ahead of the curve with Glue's serverless architecture and cloud-native approach, adapting to your evolving data needs with ease.
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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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  • Console: Discover, transform and make available data assets for querying and analysis. Builds complex data integration pipelines; handles dependencies, filters bad data and retries jobs after failures. Monitor jobs and get task status alerts via Amazon Cloudwatch. 
  • Data Catalog: Gleans and stores metadata in the catalog for workflow authoring, with full version history. Search and discover desired datasets from the data catalog, irrespective of where they are located. Saves time and money – automatically computes statistics and registers partitions with a central metadata repository. 
  • Automatic Schema Discovery: Creates metadata automatically by gleaning schema, quality and data types through built-in datastore crawlers and stores it in the Data Catalog. Ensure up-to-date assets – run crawlers on a schedule, on-demand or based on event triggers. Manage streaming data schemas with the Schema Registry. 
  • Event-driven Architecture: Move data automatically into data lakes and warehouses by setting triggers based on a schedule or event. Extract, transform and load jobs with a Lambda function as soon as new data becomes available. 
  • Visual Data Prep: Prepare assets for analytics and machine learning through Glue DataBrew. Automate anomaly filtering, convert data to standard formats and rectify invalid values with more than 250 pre-designed transformations – no need to write code. 
  • Materialized Views: Create a virtual table from multiple different data sources by using SQL. Copies data from each source data store and creates a replica in the target datastore as a materialized view. Ensures data is always up-to-date by monitoring data in source stores continuously and updating target stores in real time. 
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  • 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. 
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Product Ranking

#9

among all
ETL Tools

#26

among all
ETL Tools

Find out who the leaders are

Analyst Rating Summary

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96
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Data Delivery
Performance and Scalability
Platform Capabilities
Platform Security
Workflow Management
Platform Security
Data Sources and Targets Connectivity
Data Transformation
Data Quality
Metadata Management

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

AWS Glue
Integrate.io
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Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 92 62 90 96 100 100 57 87 96 91 86 0 67 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 165 reviews
Great User Sentiment 153 reviews
85%
of users recommend this product

AWS Glue has a 'great' User Satisfaction Rating of 85% when considering 165 user reviews from 3 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.

4.0 (46)
4.3 (115)
n/a
4.59 (17)
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4.6 (16)
4.4 (109)
4.1 (5)
3.9 (10)
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Awards

SelectHub research analysts have evaluated AWS Glue and concluded it earns best-in-class honors for Workflow Management.

Workflow Management Award

we're gathering data

Synopsis of User Ratings and Reviews

Cost-Effective & Serverless: Pay only for resources used, eliminates server provisioning and maintenance
Simplified ETL workflows: Drag-and-drop UI & auto-generated code for easy job creation, even for non-programmers
Data Catalog: Unified metadata repository for seamless discovery & access across various data sources
Flexible Data Integration: Connects to diverse data sources & destinations (S3, Redshift, RDS, etc.)
Built-in Data Transformations: Apply pre-built & custom transformations within workflows for efficient data cleaning & shaping
Visual Data Cleaning (Glue DataBrew): Code-free data cleansing & normalization for analysts & data scientists
Scalability & Performance: Auto-scaling resources based on job needs, efficient Apache Spark engine for fast data processing
Community & Support: Active user community & helpful AWS support resources for problem-solving & best practices
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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 Customization & Control: Visual interface and pre-built transformations may not be flexible enough for complex ETL needs, requiring manual coding or custom Spark jobs.
Debugging Challenges: Troubleshooting Glue jobs can be complex due to limited visibility into underlying Spark code and distributed execution, making error resolution time-consuming.
Performance Limitations for Certain Workloads: Serverless architecture may not be optimal for latency-sensitive workloads or large-scale data processing, potentially leading to bottlenecks.
Vendor Lock-in & Portability: Migrating ETL workflows from Glue to other platforms can be challenging due to its proprietary nature and lack of open-source compatibility.
Pricing Concerns for Certain Use Cases: Pay-per-use model can be expensive for long-running ETL jobs or processing massive datasets, potentially exceeding 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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User reviews of AWS Glue paint a picture of a powerful and user-friendly ETL tool for the cloud, but one with limitations. Praise often centers around its intuitive visual interface, making complex data pipelines accessible even to non-programmers. Pre-built connectors and automated schema discovery further simplify setup, saving users time and effort. Glue's serverless nature and tight integration with the broader AWS ecosystem are also major draws, offering seamless scalability and data flow within a familiar environment. However, some users find Glue's strength in simplicity a double-edged sword. For complex transformations beyond basic filtering and aggregation, custom scripting in Python or Scala is required, limiting flexibility for those unfamiliar with these languages. On-premise data integration is another pain point, with Glue primarily catering to cloud-based sources. This leaves users seeking hybrid deployments or integration with legacy systems feeling somewhat stranded. Cost also arises as a concern. Glue's pay-per-use model can lead to unexpected bills for large data volumes or intricate pipelines, unlike some competitors offering fixed monthly subscriptions. Additionally, Glue's deep integration with AWS can create lock-in anxieties for users worried about switching cloud providers in the future. Overall, user reviews suggest Glue shines in cloud-based ETL for users comfortable with its visual interface and scripting limitations. Its scalability, ease of use, and AWS integration are undeniable strengths. However, for complex transformations, on-premise data needs, or cost-conscious users, alternative tools may offer a better fit.

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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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