Top 5 Best AWS Glue Alternatives & Competitors Gartner Rated

With the exponential increase in daily data, organizations look for a solution to integrate, transform, and consolidate their data into a single platform to increase performance through simplified analytics. 

AWS Glue is one such serverless ETL solution that helps organizations move data into enterprise-class data warehouses. Its close integrations with other AWS services, such as Amazon Aurora, Amazon Redshift, Amazon S3, and others, appeal to businesses that have already invested significantly in AWS. 

Despite being a cost-effective solution, AWS Glue’s limited built-in connectors and pitfalls in scheduling jobs and managing dependencies make companies look for a more robust and efficient solution that is easier to use. 

This guide will help you understand what to look for in an AWS Glue Alternatives and then walk you through the best alternatives available on the market.

Let’s begin!

What is AWS Glue?

AWS Glue is a serverless data integration service from Amazon Web Services used to build, run, and manage data pipelines. It removes the need to provision or manage infrastructure, allowing teams to focus directly on preparing data for analytics and downstream use.

What makes Glue particularly useful is how it combines data discovery, transformation, and orchestration in one service. Its built-in Data Catalog keeps track of dataset schemas and metadata, so teams can find and use data reliably across different workflows.

AWS Glue also supports distributed data processing using Apache Spark from the Apache Software Foundation. This enables teams to transform and process large volumes of data efficiently within the AWS ecosystem.

Key features:

Data Preparation with ML: Glue uses built-in ML to help deduplicate and cleanse data without requiring you to build or manage ML models. The FindMatches feature learns from labeled examples to identify duplicates or similar records intelligently.

Glue interactive sessions: Glue provides interactive sessions where developers can explore, debug, and iterate code in a notebook or IDE of choice. This accelerates development and troubleshooting without manual cluster management.
Flexible job execution with AWS Glue Flex: Glue can run jobs under different execution classes. With Glue Flex, you can lower costs for non-urgent or variable workloads by up to 35%, choosing between standard and flexible execution based on urgency and budget.

What should you look for in an AWS Glue Alternative?

• Support for traditional database queries: AWS Glue does not well support traditional database queries designed for use with relational databases. Therefore, consider an option that supports traditional database queries.
• Friendly tool for Tech and Non-Tech Users: Teams that use AWS Glue must have a solid understanding of Apache Spark. If you do not have an engineering team well-versed in Apache Spark, you need to consider other options for your ETL needs.
• Real-Time Synchronization: Full syncs are incapable of providing timely, i.e., real-time, updates. They take a long time; hence, incremental syncs are necessary because they extract only the latest changes. Since all data is initially staged on S3 in AWS Glue, there is no option for incremental sync from your data source. To perform real-time ETL jobs, you need to consider another alternative.
• Compatibility: AWS Glue is only compatible with services hosted on AWS. If your organization’s sources are not hosted on AWS, then you might require the assistance of a third-party ETL service.
• Built-in Connectors: AWS Glue has a limited set of built-in connectors, so look for an alternative with a large set of pre-built connectors to support all your data sources. 

Quick Tabular Comparison of the AWS Glue Competitors

Top 10 AWS Glue Alternatives & Competitors to Consider in 2026

1. Hevo

G2 Rating: 4.3
Gartner: 4.6

Hevo Data is designed for teams that need simple, reliable, and scalable data pipelines without spending time managing infrastructure, job failures, or schema changes. It provides fully managed data replication so teams can move data from sources to warehouses with minimal engineering effort.

Hevo delivers near-real-time data replication with built-in schema detection and automatic handling of schema evolution. Pipelines continue running even when source structures change, reducing the risk of broken workflows and delayed reporting. Analytics teams always have access to fresh, accurate data without constant manual intervention.

One of Hevo’s most distinctive capabilities is its built-in fault-tolerant architecture, which automatically detects pipeline failures, retries jobs, and preserves data consistency without manual intervention. You don’t have to monitor logs or rebuild failed jobs. Hevo handles retries and recovery behind the scenes.

Key features of Hevo:

• Simple to use: Hevo removes the traditional setup overhead associated with data pipelines. Its guided, no-code interface allows teams to connect sources, configure pipelines, and start syncing data within minutes.
• Reliable: Hevo’s fault-tolerant architecture ensures pipelines continue running even when failures occur. It automatically detects issues, retries failed events, and adapts to schema changes without breaking workflows.
• Transparent: Hevo provides complete visibility into pipeline health through real-time dashboards, detailed logs, and data lineage tracking. Teams can monitor pipeline performance, trace data movement, and identify issues at the batch level.
• Predictable pricing: Hevo uses an event-based pricing model that aligns directly with actual data movement. This allows teams to forecast costs accurately as their data grows, without worrying about hidden infrastructure charges or unpredictable compute costs.
• Scalable: Hevo automatically scales to handle increasing data volumes and throughput without requiring manual tuning. Its architecture maintains consistent performance even as pipelines grow in complexity.

Pros:

• 150+ battle-tested connectors across databases, SaaS apps, and warehouses
• Built-in SQL and Python transformations within the platform
• Enterprise-grade security (encryption, RBAC, SOC 2 compliance)

Pricing:

• Starts as a free tier with limited connectors up to 1 million events
• Starter: $239/month up to 5 million events
• Professional: $679/month up to 20 million events
• Business: Custom pricing

Not only is it cost-effective, but once you become familiar with it, setting up pipelines is incredibly straightforward. Whether you\'re working with SFTP, Snowflake, Webhook, Facebook, or other sources, the process is smooth and easy to manage. The integration capabilities are excellent. Customer support is outstanding—I have never had a ticket go unresolved, and every issue has been addressed within a very reasonable timeframe. I use Hevo at least once a week. However, now that most of our pipelines are already set up, I mainly use it for occasional checks or when I need to create new pipelines.

Verified User

User in Financial Services

2. Informatica

G2 Rating: 4.4
Gartner Rating: 4.4

Informatica is an enterprise data integration platform used to connect, transform, and manage data across cloud, hybrid, and on-premises environments. It enables organizations to build scalable pipelines while maintaining centralized control over how data moves between systems.

What makes Informatica stand out is its unified approach to data integration, governance, quality, and replication within a single platform. With built-in automation and metadata-driven intelligence, it helps enterprises manage complex data ecosystems reliably while ensuring consistency, compliance, and operational visibility.

Pros:

• Advanced automation with CLAIRE AI engine to recommend mappings, detect anomalies, and optimize pipelines
• Strong hybrid and multi-cloud support for integrating data across hybrid environments
• Metadata-driven architecture that improves lineage tracking and visibility

Cons:

• Steep learning curve due to platform complexity and enterprise-level capabilities
• Higher total cost of ownership compared to modern cloud-native ETL tools
• Dependency on the vendor ecosystem for advanced enterprise capabilities

Why Choose Informatica Over AWS Glue

• Native MDM: Informatica includes native support for master data management, enabling organizations to create a single, consistent view of critical business entities. AWS Glue does not provide native MDM capabilities and requires additional services or tools.
• Multi-cloud compatibility: Informatica integrates across AWS, Azure, and Google Cloud environments. Teams can move and manage data across cloud platforms without being tied to a single cloud provider’s ecosystem.

Pricing:

Informatica runs on a consumption-based pricing model, billing you for what you use.

I like that Informatica PowerCenter provides a drag and drop feature. We don\'t have to manually write codes or anything. We can mention SQL, override SQL queries, but most things can be done by drag and drop only. This makes it easy to understand how things are happening and helps visualize how the pipeline is working.

Vallabh P

Programmer Analyst

View Review

3. Alteryx

G2 Rating: 4.6
Gartner Rating: 4.5

Alteryx is a visual data integration and preparation platform used to build automated data workflows. It allows users to connect to multiple sources, clean and transform data, and create repeatable workflows through a drag-and-drop interface.

Alteryx is known for its workflow-based execution model, where each step in the data pipeline is visually defined, documented, and reusable. These workflows can be scheduled, shared, and operationalized across teams, allowing organizations to standardize data preparation processes and reduce duplication of effort.

Pros:

• Visual workflow builder enables users to design data pipelines without extensive coding
• Reusable workflows that can be saved, shared, and scheduled for automation
• Supports advanced analytics and predictive modeling within the same platform

Cons:

• High licensing cost compared to many modern cloud-native ETL tools
• Less optimized for real-time data replication compared to streaming-focused platforms
• Requires Alteryx Server for enterprise-scale orchestration and collaboration

Why Choose Alteryx Over AWS Glue

Stronger self-service for analysts: Alteryx is designed for analysts to build and automate workflows independently. AWS Glue, while offering visual tools, still assumes familiarity with data engineering concepts like ETL jobs, crawlers, and Spark processing.

Reusable and shareable workflow logic: Alteryx workflows can be packaged, reused, and shared across teams as standardized processes. Organizations can operationalize repeatable data analytics workflows without rebuilding pipelines from scratch.

Pricing:

• Starter Edition: $250 USD user/month | billed annually
• Professional Edition: Custom pricing

Enterprise Edition: Custom pricing

As an auditor, I appreciate how Alteryx streamlines complex data preparation and analysis without needing extensive coding. It allows for quick transformation, validation, and reconciliation of large data sets, saving significant time during audits. The drag-and-drop workflow is intuitive, and the transparency in data lineage supports audit documentation and review.

Verified User

Accounting

4. Stitch

G2 Rating: 4.4
Gartner Rating: 4.5

Stitch Data is a cloud-first ETL service focused on moving data quickly from multiple sources into a central data warehouse or lake. It emphasizes simple, reliable replication over complex orchestration, helping teams ingest data from databases, SaaS tools, and APIs without heavy setup.

Built around a straightforward pipeline model, Stitch lets you connect sources, define replication settings, and deliver data into destinations like Snowflake, BigQuery, Redshift, or Azure Synapse in a few steps. Its lightweight architecture offloads transformation to destinations and keeps the core ETL process lean and dependable.

Pros:

• Stitch uses log-based incremental and full table replication to reduce load on source systems
• Pipelines can run on defined schedules, including advanced cron-based configurations
• Role-based access control and encryption support

Cons:

• Not optimized for highly complex, large-scale ETL workloads
• Limited native transformation capabilities
• No built-in advanced orchestration layer

Why Choose Stitch Data Over AWS Glue

• Table-level fault isolation: Replication operates independently at the table level, so failures affecting one table do not interrupt other pipelines. Data teams can maintain continuity for critical datasets while resolving issues in specific tables without stopping the entire workflow.
• Reduced architectural complexity: Stitch operates as a standalone managed service focused purely on data ingestion and replication. Pipeline setup does not require coordinating multiple services, metadata catalogs, or orchestration layers commonly involved in AWS Glue-based architectures.

Pricing:

Stitch follows a usage-based pricing model. The core of its pricing is the number of rows of data you process and transfer each month.

• Standard: $100 monthly
• Advanced: $1,500 monthly

Premium: $3,000 monthlytively cheaper than AWS Glue, especially for smaller organizations, as they can choose from a range of prices. Depending on your needs, Stitch offers pricing plans starting from $100 up to $1250.

As an auditor, I appreciate how Alteryx streamlines complex data preparation and analysis without needing extensive coding. It allows for quick transformation, validation, and reconciliation of large data sets, saving significant time during audits. The drag-and-drop workflow is intuitive, and the transparency in data lineage supports audit documentation and review.

Verified User

Accounting

5. Matillion

G2 Rating: 4.4
Gartner Rating: 4.2

Matillion is a cloud-native ETL/ELT platform designed to centralize data ingestion, transformation, and orchestration for modern analytics stacks. It runs directly within your cloud data warehouse environment and pushes transformation logic down to leverage the warehouse’s compute power, enabling rapid processing of large datasets.

Matillion stands out with a low-code, browser-based interface that supports visual pipeline design alongside code-friendly options like SQL, Python, and dbt integration, making it accessible to both analysts and data engineers. Teams can build sophisticated data workflows with AI-augmented features and native connectivity to platforms like Snowflake, Databricks, Redshift, and BigQuery.

Pros:

• Push-down ELT architecture that uses the data warehouse’s compute for faster transformations
• 150+ prebuilt connectors for databases, SaaS tools, and cloud storage systems
• Version control integration with Git for collaboration and change tracking

Cons:

• Performance depends heavily on warehouse compute resources
• Limited real-time and CDC capabilities compared to dedicated replication tools
• Pricing can increase significantly as data volumes and compute usage grow

Why Choose Matillion Over AWS Glue

Faster transformation performance: Parallel execution and warehouse-level compute allow Matillion to process large datasets efficiently. Workloads are distributed across multiple nodes, reducing pipeline execution time and accelerating data readiness for analytics.

Cloud warehouse optimization: Matillion is purpose-built for cloud warehouses and integrates deeply with their native features like MPP processing, partitioning, and schema enforcement. Pipelines can fully leverage warehouse scalability and performance without requiring separate compute infrastructure.

Pricing:

The platform offers a pay-as-you-go model.

What I like best about Matillion is its seamless integration with major cloud platforms like AWS, GCP and Azure. This is very user friendly platform for ETL. It's visual interface makes complex workflows look easier. It offers great scalability, making it suitable for big and small scale users. It helps to reduce the complexity of ETL Process with its no code working ability.

Nikhil L.

Data Engineer

6. Airbyte

Airbyte is an open-source data integration platform designed to replicate data from 600+ sources into warehouses, lakes, and databases. It focuses on consolidating data into a central system so teams can use it for analytics, reporting, and operational workflows.

What makes Airbyte distinct is its open architecture and extensibility. The platform provides over 600 prebuilt connectors and allows teams to build custom connectors using its no-code or programmatic connector builder, ensuring compatibility even with niche or internal systems.

Pros:

• A large developer community contributes connectors, fixes, and improvements.
• Airbyte supports incremental sync and CDC for multiple databases.
• Airbyte can be deployed as self-hosted, cloud-hosted, or hybrid.

Cons:

• Self-hosted deployments require teams to manage compute, scaling, monitoring, and updates
• Complex transformations require external tools like dbt or warehouse-native processing
• Not all connectors offer the same level of stability or maintenance

Why Choose Airbyte Over AWS Glue

• Open-source flexibility: Airbyte’s open-source architecture allows teams to customize connectors, workflows, and deployment environments. Organizations gain full control over their integration stack instead of relying on proprietary tooling or vendor-controlled execution.
• Infrastructure-as-code and API-driven management: Airbyte supports APIs, Terraform, and SDKs for managing pipelines programmatically. Teams can automate deployments, version control pipelines, and integrate data movement into existing DevOps workflows.

Pricing:

Airbyte provides a free self-hosted option, a 14-day cloud trial, and scalable Team and Enterprise plans designed to fit diverse business requirements.

Airbyte gives us complete control over our data infrastructure. Its flexible deployment options, whether cloud, on-premise, or hybrid, allow us to meet strict security and compliance requirements while maintaining full ownership of our pipelines. We especially appreciate that the same functionality applies across all environments, making it easy to scale and stay compliant with standards like GDPR and HIPAA

Emma B

Project Manager

View Review

7. Skyvia

Skyvia is a cloud-based data integration platform that helps teams connect, move, and synchronize data across cloud apps, databases, and file systems. It provides a unified interface to handle ETL, ELT, reverse ETL, and data replication workflows without requiring infrastructure setup or maintenance.

The platform is designed for both technical and non-technical users, combining no-code workflows with advanced options for SQL-based transformations. Teams can automate recurring integrations, keep systems in sync, and ensure data consistency across business tools, analytics platforms, and operational systems.

Pros:

• Supports CSV, Excel, and other file-based transfers to move and share structured data
• Save and reuse integration configurations to simplify recurring workflows
• Built-in SaaS backup with version history

Cons:

• Primarily designed for batch and scheduled integrations
• Limited support for complex dependency management
• Not ideal for high data volumes and complex transformations

Why Choose Skyvia Over AWS Glue

Cloud app backup and restore: Skyvia provides automated backup and restore for cloud applications, allowing teams to protect and recover critical SaaS data. AWS Glue focuses on integration and transformation, without native backup management capabilities.

Simpler scheduling and automation: Skyvia offers built-in scheduling with an intuitive configuration model, making recurring integrations easier to manage. Glue often requires configuring triggers, workflows, and dependencies across multiple AWS components.

Pricing:

Skyvia offers flexible, volume-based pricing:

• Starts free up to 10K records
• Basic: $79 per month up to 5M records
• Standard: $159 per month up to 5M records
• Professional: $399 per month up to 10M records
• Enterprise: Custom pricing

The best thing about Skyvia is its simplicity. It\'s intuitive and easy to navigate that you even don\'t stuck in the process. Of course, we referred to the documentation to discover nuances on the replication flow, but the setup was easy. It\'s cool that replicaion can be set up on a schedule. And on the first run, Skyvia created all the tables on the PosgreSQL sude.

Olesya K.

Principal CEO

8. Integrate.io

Integrate.io is a cloud-based ETL platform designed to help teams build and manage data pipelines without heavy engineering effort. The tool provides a visual interface to connect sources, transform data, and load it into warehouses, making it easier to prepare data for analytics.

Integrate.io focuses on simplifying pipeline development while still supporting advanced transformation and orchestration workflows. With built-in monitoring, scheduling, and transformation capabilities, it enables teams to centralize data movement and maintain reliable analytics pipelines without managing infrastructure.

Pros:

• Pipelines can be created, triggered, and managed via REST APIs
• Has a very knowledgeable and responsive customer support
• Strong warehouse-first optimization

Cons:

• Limited real-time streaming support compared to modern real-time ETL tools
• UI can become difficult to manage for very complex pipelines
• Requires configuration effort for advanced transformations and orchestration

Why Choose Integrate.io Over AWS Glue

• Independent execution environment: Integrate.io runs pipelines within its managed environment without requiring users to configure compute resources, IAM roles, or AWS-specific permissions.
• Built-in reverse ETL support: Integrate.io syncs data from warehouses back into operational tools like CRMs and marketing platforms. AWS Glue primarily focuses on ingestion and transformation, requiring additional services to operationalize warehouse data.

Pricing:

At $1,999 per month, this plan offers full access to the platform, 60-second pipeline updates, and unlimited connectors, with flexible options to customize and add additional features.

The ease of use and flexibility of the platform, allowing for any source, any transformation, and any destination. The team at Integrate.io is extremely knowledgeable about the product and very responsive in customer support.

Alejandro F.

Information Technology Business Analyst

9. Fivetran

Fivetran is a fully managed data integration platform designed to automate data movement from source systems to cloud destinations. It focuses on ELT automation, allowing teams to replicate data into warehouses without building or maintaining custom pipelines.

Fivetran has an automation-first architecture with 700+ connectors that automatically sync data, adapt to schema changes, and maintain pipelines. Engineering teams avoid constant pipeline maintenance and get consistent, analytics-ready data delivered to their preferred warehouse.

Pros:

• Enterprise-grade security and compliance, including SOC 2, GDPR, and encryption.
• High reliability with built-in fault tolerance and automatic recovery mechanisms
• Incremental data syncing using CDC for efficient and low-latency updates

Cons:

• MAR-based pricing can become unpredictable with large datasets
• Limited built-in transformation capabilities
• Less flexibility for highly custom pipeline logic

Why Choose Fivetran Over AWS Glue

Schema drift handling: Fivetran automatically adapts to source schema changes without breaking pipelines, ensuring uninterrupted data flow. Glue jobs may fail or require manual intervention when source structures evolve.

Simplified auditing and compliance: Fivetran provides built-in logging, detailed historical sync records, and compliance-ready reporting. Glue lacks native audit trails, often requiring additional setup for regulatory or governance reporting.

Pricing:

Fivetran’s pricing is based on MAR (Monthly Active Rows), calculated by the number of unique rows inserted, updated, or deleted each month. Explore the platform with a 14-day free trial.

What I like most about Fivetran is that it is very user friendly and has a lot of resources to follow for each connection making set up easy.

Melanie T

Sr BI Analyst

View Review

10. Azure Data Factory (ADF)

Azure Data Factory is Microsoft’s cloud-based ETL and data integration platform that enables organizations to move, transform, and orchestrate data at scale. It provides a code-free UI for designing pipelines, along with serverless execution, so teams can focus on building workflows.

ADF offers strong integration with the broader Azure ecosystem. It supports data movement across cloud and on-premises sources, provides built-in mapping data flows for transformations, and allows existing SSIS packages to run seamlessly in the cloud.

Pros:

• Features over 90 pre-built connectors for on-premises and cloud sources
• Built-in transformation engine for code-free data transformation
• Provides real-time visibility into pipeline executions

Cons:

• Requires complementary services for full enterprise data management
• Steeper learning curve for complex pipelines
• Optimal performance and features are mostly available within Azure

Why Choose ADF Over AWS Glue

Hybrid and multi-cloud connectivity: ADF supports both on-premises and multi-cloud sources natively to orchestrate pipelines across diverse environments without heavy custom integration. Glue is primarily optimized for AWS services, limiting flexibility outside the AWS ecosystem.

Integration with Microsoft: ADF integrates directly with Synapse, Power BI, Azure Data Lake, and other Azure services, enabling end-to-end analytics workflows. Glue requires additional configuration and services to achieve similar integration.

Pricing:

Azure Data Factory (ADF) pricing is consumption-based, focusing on orchestration, data movement, and transformation activity, with costs varying by region and service tier.

What I like best about Azure Data Factory is its robust and versatile data integration capabilities. It offers a wide range of connectors and tools to efficiently manage and transform data from various sources. Its user-friendly interface, combined with the flexibility to handle complex workflows, makes it an excellent choice for orchestrating data pipelines. The seamless integration with other Azure services also enhances its functionality, making it a powerful tool for data engineering tasks.

Sowjanya G.

Digital Education Student Ambassador

Hevo Powers Scalable, Production-Ready Data Pipelines

Data integration has shifted toward fully managed, automated platforms that reduce engineering effort and improve reliability. As data ecosystems grow more complex, teams need tools that scale easily, adapt to change, and support faster analytics.

In this guide, we explored AWS Glue alternatives built for different priorities, including enterprise governance, cloud warehouse ELT, and simplified pipeline deployment. The right choice depends on your technical expertise, ecosystem, and scalability needs.

Hevo Data reflects the shift toward simpler, more reliable data integration. Its fully managed pipelines, real-time replication, and automatic schema handling help teams move data efficiently while focusing on analytics instead of pipeline maintenance.

You can use the 14-day free trial to evaluate if Hevo fits your needs. 2000+ companies say it does.

FAQs on AWS Glue Alternatives