AWS Glue is a serverless ETL service from Amazon Web Services that helps organizations move and transform data across their cloud infrastructure. Teams typically look for alternatives when they need a lower learning curve, support outside the AWS ecosystem, or more predictable pricing. The top AWS Glue alternatives in 2026 are Integrate.io, Matillion, Stitch, Mulesoft, and Dell Boomi.

Quick Answer: The best AWS Glue alternatives in 2026 are Integrate.io (best for low-code ETL with enterprise support and real-time CDC), Matillion (best for Snowflake and BigQuery-first teams), Mulesoft (best for large enterprise API integration), Stitch (best for simple ELT replication), and Dell Boomi (best for application connectivity). See the full comparison table and per-tool breakdown below.

Key Takeaways

  • AWS Glue requires PySpark or Python knowledge; most alternatives offer low-code or no-code interfaces.
  • Integrate.io connects 150+ data sources, includes 220+ built-in transformations, and replicates data with sub-60-second latency, all at a fixed monthly fee.
  • Stitch is the simplest option for pure data replication but lacks transformation depth.
  • Matillion is a strong fit for cloud data warehouse-first teams, particularly those on Snowflake or BigQuery.
  • Mulesoft and Dell Boomi suit large enterprises with complex integration needs, but both carry significant cost and complexity.
  • For teams that want to move off AWS entirely, Integrate.io is the only option on this list with dedicated solution engineers, 24/7 human support, and a 30-day white-glove onboarding program.

Why Teams Switch Away from AWS Glue

AWS Glue works well inside a tightly managed AWS environment. Outside of that context, or as data needs grow more complex, several limitations push teams to look elsewhere.

High learning curve. AWS Glue requires working knowledge of PySpark or Python to build and maintain jobs. Non-technical users and smaller data teams often find this barrier too steep compared to low-code alternatives.

AWS ecosystem lock-in. Glue integrates tightly with S3, Redshift, and other AWS services, but connecting to non-AWS sources and destinations adds friction. Teams running multi-cloud or hybrid environments often find the connector ecosystem (70+ native connectors) too narrow compared to alternatives offering 150 to 200+ connectors.

Cost unpredictability. Glue uses a pay-per-DPU (Data Processing Unit) model. For workloads with variable data volumes or frequent job runs, costs can spike without warning. Fixed-fee alternatives eliminate this uncertainty.

Limited support model. AWS support is tiered, and lower-tier plans rely heavily on documentation and community forums. Teams that need a dedicated engineer or real-time human support during pipeline issues often find this insufficient.

Weak native transformation library. Glue supports complex transformations via PySpark, but it does not offer a visual, low-code transformation interface. Teams that want 220+ pre-built transformation options without writing code need a different tool.

For a deeper look at Glue's architecture and where it fits, see our AWS Glue overview and limitations.

1. Integrate.io

Best for: Data teams that need low-code ETL, real-time change data capture, and dedicated 24/7 support without being locked into the AWS ecosystem.

Integrate.io is a low-code ETL, ELT, and CDC platform built for teams that need to move data without AWS lock-in. It connects 150+ data sources, offers 220+ built-in data transformations, and replicates data with sub-60-second latency. Unlike AWS Glue, it does not require PySpark knowledge, includes a dedicated solution engineer, and is priced at a fixed monthly fee with no per-DPU charges. It is SOC 2, HIPAA, GDPR, and CCPA compliant.

What It Does Well

  • Low-code interface: Both technical and non-technical users can build and manage data pipelines through a visual interface with 220+ no-code transformations. No PySpark required.
  • Real-time CDC: Sub-60-second change data capture replication powers real-time dashboards and AI/ML initiatives without manual pipeline management.
  • Broad connector library: 150+ pre-built connectors plus a highly customizable REST API connector for sources not covered natively.
  • Reverse ETL: Push data from your warehouse back into operational tools like Salesforce and HubSpot with built-in reverse ETL support.
  • Fixed-fee pricing: $1,999/mo covers unlimited data volumes, unlimited pipelines, and unlimited connectors. No surprise charges tied to job runs or DPU consumption.
  • Security: Field-level encryption via Amazon KMS, data masking, role-based access control, audit logs, and zero data storage (pass-through only).

Where It Falls Short

  • Integrate.io is not an open-source tool. Teams that require full source code access or self-hosted open-source deployments will need to evaluate Apache Airflow or similar options.
  • The platform is best suited for teams that want managed infrastructure. Teams that prefer to build and own every layer of their stack may find the managed approach limiting.

Best For

Teams migrating off AWS Glue that need a production-ready, low-code platform with enterprise support, real-time replication, and multi-cloud flexibility.

Migration Complexity from AWS Glue

Low. Integrate.io's 30-day white-glove onboarding program includes a dedicated solution engineer who handles pipeline setup and migration. No PySpark knowledge is required to rebuild existing Glue jobs.

2. Stitch

Best for: Teams that need simple, reliable ELT data replication into a cloud data warehouse with minimal setup.

Stitch is an ELT platform focused on data replication: it loads data into a data warehouse without transforming it ahead of time, leaving all transformation logic to the warehouse itself.

What It Does Well

  • Simple setup with minimal configuration required.
  • 130+ built-in connectors, plus an open-source API for adding custom sources, making it a viable AWS Glue open-source alternative for replication-focused use cases.
  • Scales with data volume without manual infrastructure management.

Where It Falls Short

  • No pre-load transformation capability. You cannot filter, mask, or cleanse data before it lands in the warehouse, which creates data quality and privacy risks.
  • Limited to data warehouse destinations. You cannot route data to operational systems or files.
  • Struggles with very large data volumes and lacks parallel processing support.
  • Basic monitoring and alerting compared to full-featured ETL platforms.

Best For

Teams with a single, straightforward replication use case who do not need pre-load transformations or multi-destination routing.

Migration Complexity from AWS Glue

Low to Medium. Stitch is easy to set up, but if your Glue jobs include transformation logic, you will need to rebuild that logic inside your data warehouse using SQL or dbt.

3. Matillion

Best for: Cloud data warehouse-first teams on Snowflake or BigQuery that need ELT with low-code pipeline building and data analytics capabilities.

Matillion is a cloud-native ELT platform designed around data warehouse-centric workflows. It supports Snowflake, BigQuery, Redshift, and other major warehouses, with automatic scaling in clustered environments. For a side-by-side comparison of Matillion against another popular open-source option, see Airbyte vs. Matillion.

What It Does Well

  • Low-code and no-code pipeline building with an intuitive visual interface.
  • Strong native integration with Snowflake and BigQuery, including automatic schema management.
  • Auto-scaling in clustered environments handles variable workloads without manual intervention.
  • Includes data analytics services alongside core ELT capabilities.

Where It Falls Short

  • All transformations occur inside the data warehouse. Pre-load data quality or masking requires additional tooling.
  • Pricing is subscription-based and can vary significantly based on user count and saved projects, making total cost of ownership harder to predict.
  • Takes time to get up to speed; the learning curve is lower than AWS Glue but still present for new users.

Best For

Teams already invested in Snowflake or BigQuery that want a managed ELT platform with analytics capabilities and do not need pre-load transformation.

Migration Complexity from AWS Glue

Medium. Matillion's visual interface reduces the PySpark dependency, but teams will need to rebuild transformation logic inside the warehouse and adjust to ELT-first workflows.

4. Mulesoft

Best for: Large enterprises that need a single platform for API integration, ETL, and Enterprise Service Bus (ESB) operations across complex technology stacks.

Mulesoft vs. Integrate.io is a comparison worth reviewing if you are evaluating all-in-one integration platforms. Mulesoft is an all-in-one data integration platform offered by Salesforce, covering API gateways, ETL operations, ESB, and more.

What It Does Well

  • 200+ connectors covering a wide range of enterprise systems.
  • Handles API integration, ETL, ESB, and microservices connectivity in a single platform.
  • Low latency with parallel processing support, designed for high-throughput enterprise workloads.
  • SOC 2 Type II, ISO 27001, and GDPR compliant.

Where It Falls Short

  • Significant technical resources required. Mulesoft is complex to implement and maintain, and teams typically need dedicated integration specialists.
  • Requires a desktop IDE, which adds infrastructure overhead.
  • Enterprise pricing puts it out of reach for small and medium-sized businesses.
  • Overkill for teams that only need ETL or ELT without the full API and ESB layer.

Best For

Large enterprises with diverse integration requirements across APIs, databases, and microservices that have the technical team and budget to support a full-featured iPaaS.

Migration Complexity from AWS Glue

High. Mulesoft's architecture is significantly different from Glue. Rebuilding Glue jobs in Mulesoft requires substantial development effort and specialist knowledge.

5. Dell Boomi

Best for: Organizations that need application connectivity and basic ETL in a single iPaaS, particularly for simple, low-volume data transfers.

Dell Boomi vs. Integrate.io covers the key differences in depth. Dell Boomi is an iPaaS solution with a heavy focus on connecting applications and microservices, with ETL functionality as a secondary capability.

What It Does Well

  • 200+ pre-built connectors streamline building a data pipeline for application-to-application use cases.
  • User-friendly drag-and-drop interface with real-time processing support.
  • Comprehensive data transformation capabilities for standard integration scenarios.
  • SOC 2 Type II, GDPR, and HIPAA compliant.

Where It Falls Short

  • ETL features work best with simple, low-volume data transfers. Large-scale or complex data pipeline use cases are better served by dedicated ETL platforms.
  • Pricing is opaque and subscription-based, making total cost of ownership difficult to calculate upfront. Features like phone support and specific connectors may require additional payment.
  • Complex data flows are difficult to configure in the current toolset.

Best For

Organizations that prioritize application connectivity over heavy data transformation, and that need basic ETL as part of a broader integration platform.

Migration Complexity from AWS Glue

Medium to High. Boomi's ETL capabilities are more limited than Glue's for complex jobs. Teams with sophisticated transformation logic will need to simplify or restructure their pipelines.

AWS Glue Alternatives: Full Comparison Table

Criteria Connectors Services Performance Scalability Ease of Use Transformations Cost Security Support Monitoring G2 Rating
Integrate.io 150+ ETL, ELT, Reverse ETL, API management 60-second CDC, parallel processing, high throughput Multi-cloud, multi-region, auto-scaling Low-code, gentle learning curve 220+ no-code transformations Fixed fee, $1,999/mo, unlimited data SOC 2, HIPAA, CCPA, GDPR, field-level encryption 24/7 email, chat, phone, Zoom; dedicated solution engineer Comprehensive monitoring, email and Slack alerts 4.3
AWS Glue 70+ ETL, data cataloging, schema discovery Near real-time, parallel processing Highly scalable within AWS Moderate, requires PySpark/Python Complex transformations via PySpark Pay-per-DPU, variable cost SOC 1, SOC 2, ISO 27001, HIPAA, PCI DSS AWS support plans, documentation CloudWatch integration 4.2
Stitch 130+ ELT Near real-time, no parallel processing Scales with volume Very easy, minimal setup Basic, Python scripts Volume-based pricing SOC 2 Type II, data encryption Email support, community forums Basic alerting 4.4
Matillion 70+ ETL, ELT, data integration Batch processing, parallel processing Scales with cloud infrastructure User-friendly, low-code Extensive transformation capabilities Subscription, tiered, usage-based SOC 2 Type II, GDPR, encryption, RBAC 24/7 support, training, community Comprehensive, email and Slack alerts 4.4
Mulesoft 200+ API integration, ETL, ESB Low latency, parallel processing Highly scalable, enterprise-grade Complex, requires training Advanced, multi-protocol Enterprise subscription pricing SOC 2 Type II, ISO 27001, GDPR 24/7 support, training, community Extensive, multi-channel alerts 4.5
Dell Boomi 200+ ETL, ELT, API management Real-time, parallel processing Highly scalable User-friendly, drag-and-drop Comprehensive Subscription, tiered SOC 2 Type II, GDPR, HIPAA 24/7 support, community Robust, multi-channel alerts 4.3
Fivetran 150+ ELT Near real-time, no parallel processing Highly scalable Very easy, minimal setup Basic transformations Connector and volume-based SOC 2 Type II, encryption 24/7 support Basic monitoring 4.2
Hevo Data 150+ ETL, ELT Near real-time, parallel processing Scales with volume User-friendly Comprehensive Volume-based subscription SOC 2 Type II, GDPR, encryption, basic RBAC 24/7 support, community Comprehensive monitoring 4.3
Rivery 120+ ELT, Reverse ETL Near real-time, parallel processing Highly scalable User-friendly, low-code Extensive Volume and usage-based SOC 2 Type II, encryption 24/7 support, community Comprehensive monitoring 4.7
Talend 900+ ETL, ELT, data quality Batch processing, parallel processing Highly scalable Complex, requires training Advanced Subscription, tiered SOC 2 Type II, ISO 27001, GDPR 24/7 support, training Comprehensive monitoring 4.0
Alteryx 80+ ETL, data preparation, analytics Batch processing, parallel processing Scales with volume User-friendly Advanced analytics and transformation Usage-based subscription SOC 2 Type II, encryption 24/7 support, training Comprehensive monitoring 4.6
Azure Data Factory 90+ ETL, data integration, transformation Near real-time, parallel processing Highly scalable within Azure Moderate, Azure knowledge required Extensive Pay-as-you-go SOC 2, ISO 27001, HIPAA 24/7 support, documentation Azure Monitor integration 4.6
Skyvia 50+ ETL, data integration, backup Near real-time, no parallel processing Scales with volume Very easy, minimal setup Basic Volume and usage-based SOC 2, encryption 24/7 support Basic monitoring 4.8

For a comparison of open-source options in this space, see our Airbyte alternative guide. For analytics-focused tools, see our Alteryx alternative breakdown.

AWS Glue Alternatives: Quick-Decision Matrix

If you need... Best alternative
Low-code ETL with 24/7 human support Integrate.io
Native Snowflake or BigQuery ELT Matillion
Simple data replication without transformation Stitch
Enterprise API and ESB integration Mulesoft
Application connectivity with basic ETL Dell Boomi
Real-time CDC replication Integrate.io
Open-source flexibility Apache Airflow (mention only; not covered in depth here)
Analytics-integrated ETL Alteryx
Multi-cloud, fixed-fee pricing Integrate.io

Why Integrate.io is the Best AWS Glue Alternative

Integrate.io is the only tool on this list that combines low-code pipeline building, sub-60-second CDC replication, and a dedicated solution engineer in a single fixed-fee plan.

Here is what that means in practice:

  • No PySpark required. Build production-grade pipelines through a visual interface with 220+ pre-built transformations.
  • Predictable cost. $1,999/mo covers unlimited data volumes, unlimited pipelines, and unlimited connectors. No per-DPU billing surprises.
  • Real human support. 24/7 support via email, chat, phone, and Zoom. A dedicated solution engineer joins your onboarding and stays available for ad-hoc calls throughout your contract.
  • 30-day white-glove onboarding. Your team is fully operational within 30 days, with Integrate.io handling the pipeline setup.
  • Enterprise security. SOC 2, HIPAA, GDPR, and CCPA compliant. Field-level encryption via Amazon KMS. Zero data storage: Integrate.io acts as a pass-through layer only.
  • Multi-cloud by design. Connect 150+ sources and destinations across AWS, Azure, Google Cloud, and on-premise systems without ecosystem lock-in.

Start a free 14-day trial and see how quickly your team can move from AWS Glue to production-ready pipelines.

Frequently Asked Questions

What is the best alternative to AWS Glue?

Integrate.io is the strongest all-around AWS Glue alternative for teams that need low-code ETL, real-time CDC, and enterprise support outside the AWS ecosystem. It offers 220+ built-in transformations, 150+ connectors, sub-60-second replication, and fixed-fee pricing at $1,999/mo, with no PySpark knowledge required. For teams focused purely on Snowflake or BigQuery ELT, Matillion is also a strong option.

Is there a free alternative to AWS Glue?

Integrate.io offers a free 14-day trial with full platform access. For ongoing free usage, the Integrate.io Data Observability product includes three free data alerts with no requirement to use other Integrate.io products. Apache Airflow is a free open-source orchestration option, though it requires significant engineering effort to deploy and maintain.

What is the best open-source AWS Glue alternative?

Apache Airflow is the most widely used open-source alternative for pipeline orchestration, but it requires self-hosting and engineering resources to operate. For teams that want open-source connectors with a managed layer on top, see our Airbyte alternative guide for a comparison of options in that space.

How does Integrate.io compare to AWS Glue?

Integrate.io does not require PySpark or Python to build pipelines, offers a visual low-code interface with 220+ transformations, and connects to 150+ sources across multiple clouds rather than being AWS-specific. Pricing is a fixed $1,999/mo with no per-DPU charges, compared to AWS Glue's variable pay-per-use model. Integrate.io also includes a dedicated solution engineer and 24/7 human support, which AWS Glue's standard support tiers do not provide.

Can I use AWS Glue alternatives outside of AWS?

Yes. Integrate.io, Matillion, Stitch, Mulesoft, and Dell Boomi all operate independently of the AWS ecosystem and connect to sources and destinations across AWS, Azure, Google Cloud, and on-premise systems. AWS Glue is the only tool on this list that is tightly coupled to AWS infrastructure.

Which AWS Glue alternative is easiest to set up?

Integrate.io and Stitch are the easiest to set up. Stitch requires minimal configuration for simple replication jobs. Integrate.io includes a 30-day white-glove onboarding program where a dedicated solution engineer handles the initial pipeline setup alongside your team, making it the fastest path to production for teams with more complex requirements.

Which AWS Glue alternative has the best support?

Integrate.io. It offers 24/7 support via email, chat, phone, and Zoom, with a dedicated solution engineer assigned to your account for both scheduled and ad-hoc calls. Think of the Integrate.io support team as an extension of your own data team, not a ticketing system.

Can I migrate from AWS Glue to Integrate.io without coding?

Yes. Integrate.io's visual interface and 220+ no-code transformations cover the majority of use cases that AWS Glue handles via PySpark. The 30-day onboarding program includes hands-on support from a solution engineer to rebuild your existing Glue jobs in Integrate.io's pipeline builder. For complex custom transformations, Integrate.io also supports code-based options for teams that want them.

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