AWS Glue vs Qlik Replicate

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

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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Qlik Replicate is a data replication solution that enables real-time data integration between various data sources and target systems. It's ideal for organizations seeking to consolidate data from disparate sources, ensuring data consistency and availability for analytics and reporting purposes.

Key benefits include: real-time data replication, ensuring data accuracy and eliminating data latency; support for a wide range of data sources and target systems, providing flexibility in data integration; and robust data transformation capabilities, allowing for data cleansing, filtering, and enrichment before replication.

Qlik Replicate stands out with its user-friendly interface, intuitive drag-and-drop functionality, and comprehensive data monitoring and management tools. It offers flexible pricing options based on the number of data sources and target systems, making it cost-effective for organizations of all sizes.

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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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  • Accelerated Data Delivery: Qlik Replicate's high-speed data replication engine ensures near-real-time data delivery, minimizing latency and enabling faster decision-making.
  • Enhanced Data Integrity: The solution's robust data validation and error handling capabilities guarantee data accuracy and consistency, ensuring reliable insights.
  • Simplified Data Management: Qlik Replicate's intuitive interface and automated processes streamline data replication tasks, reducing operational complexity and freeing up IT resources.
  • Improved Data Security: Advanced encryption and access controls protect sensitive data throughout the replication process, ensuring compliance and mitigating security risks.
  • Scalable and Flexible: Qlik Replicate's scalable architecture supports growing data volumes and diverse data sources, providing flexibility to meet evolving business needs.
  • Reduced Downtime: The solution's continuous replication and failover capabilities minimize downtime during system maintenance or outages, ensuring uninterrupted data availability.
  • Cost Optimization: Qlik Replicate's efficient data replication processes reduce storage and bandwidth requirements, optimizing infrastructure costs and improving ROI.
  • Improved Data Governance: Centralized data management and lineage tracking capabilities enhance data governance practices, ensuring data quality and compliance.
  • Enhanced Analytics and Reporting: Near-real-time data availability empowers businesses with up-to-date insights, enabling more accurate and timely decision-making.
  • Increased Business Agility: Qlik Replicate's rapid data delivery and simplified management empower businesses to respond quickly to changing market conditions and customer demands.
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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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  • Real-time data replication: Replicate data changes as they occur, ensuring that your target systems are always up-to-date.
  • High availability and disaster recovery: Protect your data from downtime and data loss with automatic failover and recovery mechanisms.
  • Flexible data transformation: Easily transform and cleanse data during replication to meet the specific requirements of your target systems.
  • Scalable architecture: Handle large volumes of data and support multiple concurrent replication tasks with ease.
  • Comprehensive data security: Protect sensitive data during replication with encryption, authentication, and authorization mechanisms.
  • Intuitive user interface: Manage and monitor replication tasks effortlessly through a user-friendly web-based interface.
  • Extensive connectivity options: Connect to a wide range of source and target databases, including relational, NoSQL, and cloud-based systems.
  • Change data capture (CDC): Capture only the changes made to your source data, reducing replication overhead and improving performance.
  • Data lineage tracking: Track the flow of data from source to target, ensuring data integrity and compliance.
  • Support for complex data types: Replicate complex data types, such as JSON, XML, and LOBs, without data loss or corruption.
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Product Ranking

#9

among all
ETL Tools

#27

among all
ETL Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

AWS Glue
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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 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 165 reviews
Excellent User Sentiment 2 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.

100%
of users recommend this product

Qlik Replicate has a 'excellent' User Satisfaction Rating of 100% when considering 2 user reviews from 1 recognized software review sites.

4.0 (46)
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5.0 (2)
4.4 (109)
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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

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

User Favorite Award

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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Real-time Data Replication: Qlik Replicate enables near-instantaneous data replication, ensuring that your data is always up-to-date and accessible for critical business processes.
High Availability and Disaster Recovery: Qlik Replicate provides robust data protection by replicating data to multiple locations, ensuring business continuity in the event of hardware failures or natural disasters.
Scalability and Performance: Qlik Replicate is designed to handle large data volumes and high transaction rates, ensuring optimal performance even in demanding environments.
Flexible Data Transformation: Qlik Replicate offers powerful data transformation capabilities, allowing you to cleanse, filter, and enrich data before replication, ensuring data quality and consistency.
Simplified Management: Qlik Replicate's intuitive user interface and centralized management console make it easy to configure, monitor, and manage replication tasks, reducing administrative overhead.
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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 Source Support: Qlik Replicate may not support all the data sources that you need to replicate, which can limit its usefulness in certain scenarios.
Complex Configuration: Setting up and configuring Qlik Replicate can be complex, especially for users who are not familiar with data replication technologies.
Performance Issues: Some users have reported performance issues with Qlik Replicate, particularly when replicating large volumes of data.
Limited Error Handling: Qlik Replicate may not handle errors gracefully, which can lead to data loss or corruption.
Lack of Real-Time Replication: Qlik Replicate does not offer real-time replication, which can be a limitation for applications that require up-to-date data.
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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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Qlik Replicate is a data replication solution that has received positive user reviews in the past year. Users appreciate its ease of use, reliability, and scalability. They also find it to be a cost-effective solution compared to similar products. One of the key strengths of Qlik Replicate is its ability to replicate data in real-time, which is essential for businesses that need to make decisions based on the most up-to-date information. Additionally, Qlik Replicate offers a variety of features that make it easy to manage and monitor replication tasks, such as a graphical user interface and a command-line interface. While Qlik Replicate is a powerful data replication solution, it does have some weaknesses. Some users have reported that it can be difficult to configure and that it can be slow to replicate large amounts of data. Additionally, Qlik Replicate does not offer some of the features that are available in more expensive data replication solutions, such as support for multiple data sources and the ability to replicate data over long distances. However, for businesses that need a reliable and cost-effective data replication solution, Qlik Replicate is a good option. Overall, Qlik Replicate is a good choice for businesses that need to replicate data in real-time. It is easy to use, reliable, and scalable. Additionally, it is a cost-effective solution compared to similar products. However, businesses that need to replicate large amounts of data or that need support for multiple data sources may want to consider a more expensive data replication solution.

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