Integrate.io vs Matillion: Which Is the Better Data Integration Tool?

KEY TAKEAWAY

Choose Integrate.io for straightforward, no-code pipelines with predictable pricing and minimal maintenance effort.

Choose Matillion for powerful native transformations in the warehouse and deeper control over complex workflows.

Go for Hevo if you want a fully managed and auto-scalable platform that handles both simple and complicated workflows efficiently.

If you have been looking for a reliable cloud data tool that doesn’t demand heavy engineering effort, you might have come across Integrate.io and Matillion. Both tools seem easy enough to adopt without slowing down your teams.

Integrate.io distinguishes itself with a dedicated low-code approach. Matillion is a cloud-native powerhouse known for its high-performance processing. But which one does your team require?

This guide provides you with every detail, from features to pricing, so you can determine which tool best fits your workflow. By the end, you will have complete clarity on your ideal option.

What Is Integrate.io?

G2 rating: 4.3 (208)

Garter Rating: 4.5 (6)

Integrate.io is a cloud-based tool to create data pipelines with quick setup, simple workflows, and minimal operational effort. It supports 200+ common sources that small and mid-sized businesses often rely on. 

The platform shines when you need both ETL and ELT capabilities in one place. This makes Integrate.io suitable for teams with mixed technical backgrounds.

Business analysts can use the visual interface, while developers enjoy the flexibility with advanced APIs and expression languages for advanced requirements.

Key features of Integrate.io

• In-pipeline transformations: Offers more than 220 pre-built transformations that cleanse and aggregate data without writing any SQL.
• Change Data Capture: Provides real-time replication with 60-second sync cycles for workloads that require frequent updates.
• JSONPath support: Helps you extract values from nested JSON objects and arrays with precise JSONPath expressions.
• Pipeline dependency management: Defines clear execution relationships between pipelines so complex workflows run in the right order.
• Custom connectors: Includes a flexible REST API connector to integrate niche SaaS tools or internal services.

Use cases

• Multi-channel marketing reporting: Connect ad networks, web analytics, and CRM so marketing can track which campaigns drive pipeline and revenue, not just clicks and leads.
• Prepare operational data for AI forecasting: Deliver structured, analysis-ready datasets into a warehouse to improve demand forecasting, churn prediction, or lead scoring models.
• B2B data sharing and file preparation: Exchange data with partners through automated file-processing pipelines that handle CSV, XML, and JSON formats.

Pricing

Integrate.io offers a two-tier subscription-based pricing model. 

• Integrate.io Core: Starts at $1,999 per month and includes unlimited connectors, pipelines, and data volume.
• Design Your Perfect Plan: A customizable package that adds enterprise security options, advanced identity management, and healthcare-compliant features. Price available on request.

The platform also provides a free 14-day trial.

Pros and cons

Pros:

• White glove support for setup and ongoing maintenance.
• Reverse ETL sends processed data back to the source for operational use.
• Comprehensive security certifications for regulated industries.

Cons:

• Error logs can be minimal, making troubleshooting difficult.
• Steep learning curve for multi-step workflows.
• Limited support for SQL operations and advanced transformations compared to warehouse native tools.

What Is Matillion?

G2 rating: 4.4 (81)

Garter Rating: 4.4 (174)

Matillion is a data tool built for modern cloud warehouses, such as Snowflake, Redshift, BigQuery, and Databricks. It provides a drag-and-drop interface for easy pipeline design and supports custom SQL, Python, or Java transformations for complex workflows.

With 150+ pre-built connectors, Matillion handles diverse source systems while maintaining tight integration with major cloud platforms. It is notable for offering both Matillion ETL for self-hosted deployments and the newer Data Productivity Cloud for fully managed pipelines.

Key features of Matillion

• Pushdown ELT processing: Runs transformations inside data warehouses rather than moving data elsewhere, thereby reducing processing time and infrastructure costs.
• Component-based job designer: Provides a large pre-built library of cloud-specific components for data validation and manipulation.
• Orchestration and scheduling: Enables you to chain jobs, add conditional logic, and schedule runs at any frequency for pipeline orchestration.
• AI-powered copilot: Built-in AI assistant Maia helps you design pipelines, generate transformation logic, and troubleshoot issues to accelerate development time.
• Version control: Integrates Git-based versioning to manage branching, collaboration, and deployment workflows efficiently.

Use cases

• Cloud data warehouse analytics: Extract data from business applications, transform it in Snowflake or BigQuery, and deliver analytics-ready datasets to BI tools like Tableau and Looker.
• Multi-step transformations: Build sophisticated transformation pipelines with branching logic, aggregations across multiple sources, and data quality checks that run entirely in the warehouse.
• High-volume data cleanup: Run data validation, cleansing, and normalization routines directly on petabyte-scale transactional data sets.

Pricing

Matillion provides a usage-based pricing model.

• Developer: Supports one user with full project access and Git-backed versioning.
• Teams: Expands to five users and includes audit logging plus standard support.
• Scale: Adds enterprise-grade security and hybrid deployment capabilities for up to five users.

A free trial is available with 500 credits.

Pros and cons

Pros:

• Strong scalability for enterprise-grade workloads across multiple teams.
• Automatic generation of data pipeline documentation.
• Real-time pipeline monitoring and automatic alerting enhance pipeline reliability.

Cons:

• Requires SQL knowledge for advanced transformations.
• Pricing can become expensive at scale.
• Limited API functionality for programmatic pipeline management and deployment automation.

Integrate.io vs Matillion vs Hevo: Detailed Comparison Table

	Try Hevo for Free
Core functions	Fully managed, no-code ELT/ETL	Low-code ETL and ELT	Cloud warehouse transformations
Ease of use	Easy	Moderate	Moderate
Connector	150+	200+	150+
Real-time sync
API and extensibility	Extensive API	Advanced APIs	Git and CI/CD support
Transformations	GUI, Python, and SQL	220+ pre-built transformations	Warehouse pushdown and SQL
Reverse ETL
AI assistance	Supports AI-ready pipelines	AI Transformation Component	Maia AI assistant
Customer support	24/7 chat, email	Email, chat, phone, and Zoom	Tier-based support, paid support plans
Security compliance	SOC 2 Type II, GDPR, HIPAA, DORA, and CPRA	SOC 2, HIPAA, CCPA, and GDPR	SOC 2, ISO 27001, and PCI DSS
Free plan
Free trial
Starting Price	$239/month	$1,999/month	Custom pricing

Matillion vs Integrate.io: In-Depth Feature & Use Case Comparison

1. Pipeline model and transformation approach

Integrate.io gives you a straightforward way to build pipelines without worrying about the underlying infrastructure. You can apply 220+ ready-to-use transformations within the platform, which works well if your data team prefers a managed environment. For advanced logic, developers can use SQL expressions or the REST API.

Matillion takes a different path by shifting almost all transformation logic into the warehouse. You work visually here too, but steps translate into warehouse-native SQL. This benefits teams that want full control over performance tuning.

Hence, Integrate.io fits simpler integration work, while Matillion is better suited for deeper transformation requirements.

Integrate.io:

Integrate.io is an excellent platform for designing and orchestrating data pipelines from diverse sources to destinations like MySQL. Its ease of implementation is a standout feature, with a user-friendly interface that simplifies the process of extracting data (e.g., JSON from REST APIs), transforming it into structured formats, and seamlessly loading it into databases. The ability to use CRON expressions for scheduling workflows adds flexibility to the frequency of use.

Praful P

Data Engineer

View Review

Matillion:

Easy to learn if you’re familiar with any other data transformation tool. Allows easy drag and drop but also offers full power of native SQL or Python when needed. Very good value for money - scales very well, also for small use cases. Uses the processing power of modern cloud data warehouses by using SQL pushdown.

Dominik R.

User in Mid-market

2. Connector library and extensibility

Integrate.io offers 200+ pre-built connectors spanning databases, SaaS apps, cloud storage, and advertising platforms. You also get a flexible REST API connector that helps you integrate uncommon SaaS tools or proprietary endpoints without custom engineering.

Matillion provides fewer connectors than other alternatives, although the ones it includes are tightly aligned with warehouse ecosystems. It adds more extensibility through custom scripting and component-level configuration.

This makes Integrate.io feel more plug-and-play, while Matillion extends logic within the pipelines themselves. The better option depends on how varied your data sources are.

Integrate.io:

The connectors are available for most applications. API integration works well for most of the sources we are using. Integrate.io has been a great tool to learn and use. It has a reasonably easy learning curve and our team has been able to pick up the tool easily.

Preeti K.

Project Coordinator for ETL

View Review

Matillion:

Capability to connect with all the top data warehouses like bigquery, redshift, etc. The tool is developer friendly, it also provides the capabilities to use python runtime, http end points etc.

Verified User in Utilities

View Review

3. Orchestration capabilities

Integrate.io gives you a flexible scheduler that lets you automate jobs on your own terms. You choose the exact timing, whether it runs every few minutes or follows a custom cron pattern. You also control the dedicated cluster that executes the workflow, and select the exact number of compute nodes required. You can allocate or terminate these resources as needed to manage resource consumption.

Matillion is built as both a transformation engine and a full orchestration layer. You can chain multiple jobs, manage dependencies, build reusable components, and run conditional logic. It integrates tightly with Git for version control, supports cross-environment changes, and fits smoothly into CI/CD pipelines.

Matillion offers a significantly richer and more mature orchestration experience compared to Integrate.io.

Matillion:

“Matillion is a good no/low-code platform. It works extremely well with modern cloud platforms. We can automate the jobs by scheduling. It helps to handle the complexity of data from sources. We can integrate with Git for version control. As I\'m a fresher for my organization and new to the project, I can understand this tool and start to work within a limited time period.”

Software Engineer

View Review

4. Performance and scalability

Integrate.io handles both batch and real-time workloads, and its CDC pipelines refresh data in 60 seconds. This gives you a consistent data flow without heavy configuration. It also makes scaling easier by letting you choose the cluster size.

Matillion supports real-time data delivery through frequent batch processing, but its real strength lies in pushing large transformation jobs directly into your warehouse. Since every step converts into native SQL, you can take full advantage of Snowflake or BigQuery performance features. This allows Matillion to scale better for high-volume transformations where compute can do the heavy lifting.

If you want a straightforward path to faster real-time syncing, Integrate.io is the rational choice.

Integrate.io:

Integrate.io is highly scalable solution that provides valuable insights in real time. Customer data can be integrated from multiple data sources and helps understand customer experience and improvise it. Pipelines and references can be configured quickly and start recording data instantly.

Saurabh T.

Full Stack Developer

View Review

5. AI assistance

Integrate.io recently added an AI Transformation component that simplifies certain cleaning and enrichment tasks. This works particularly when you need quick processing without hand-coding logic. It acts as a practical helper inside pipelines rather than a full assistant.

Matillion offers Maia, which helps you design workflows, write SQL or Python steps, and troubleshoot pipeline issues. It behaves more like a development partner built into the tool.

Matillion provides a stronger AI support with a distinct AI component, while Integrate.io’s AI is a transformation layer.

6. Cost structure and total cost of ownership

Integrate.io uses a simpler pricing model that feels predictable if you want clear monthly planning. You do not manage compute resources separately, so operational costs stay contained. However, it could be expensive for smaller teams.

Matillion uses a consumption-based model tied to workload usage. You benefit when you optimize warehouse compute, but costs can rise during heavy processing periods.

Integrate.io works better for teams that want a single, steady subscription. Matillion suits teams that actively tune compute and understand how warehouse usage affects cost. The better option varies based on workload patterns.

Integrate.io:

Integrate.io was the only ETL provider we found who had clear pricing for our Postgres -> Redshift transfer. We want to do minimal processing/conversion of data, we just want the data moved efficiently and reliably from our application database into our warehouse. Integrate does that very well. They respond to technical issues quickly and without us needing to ask for help. Their customer support people are amazingly helpful.

Geoff H.

CTO

Matillion:

The price structure can be a bit expensive especially for small-sized businesses but for large businesses it's cost effective.

Pauline W.

System Engineer

When to Choose Integrate.io

Choose Integrate.io when you have a team with a mix of technical backgrounds. The low-code interface lets analysts build pipelines while developers handle complex transformations. It works well for e-commerce businesses with multiple sales channels and inventory systems.

You also benefit from in-pipeline transformations that reduce compute costs. Additionally, the platform’s real-time sync capabilities and strong security certifications suit regulated industries that require compliance with specific standards.

Want to explore more easy-to-use ELT options? Here’s a detailed comparison of Fivetran vs Integrate.io.

When to Choose Matillion

Matillion suits engineering-driven teams that want to automate their data integration, while retaining control over transformations. If you primarily work with Snowflake, Redshift, BigQuery, or Azure Synapse, Matillion offers pushdown optimization to handle massive data volumes.

Matillion is a suitable choice when batch processing meets your requirements, and you want strong orchestration features. The platform’s AI features also help accelerate pipeline development for experienced SQL users.

Find out how it compares to other tools in this comprehensive AWS Glue vs Matillion article.

Why Does Hevo Stand Out?

Hevo is a cloud-native data integration platform that suits small to enterprise teams with an intuitive solution. It is a no-code platform that can be set up in minutes and offers 150+ fully managed connectors. You can also request new connectors or create your own through custom scripts.

Compared to Matillion, Hevo offers a more intuitive, user-friendly interface for both business users and developers, with automatic schema mapping and built-in error handling. The pre-load and post-load transformation options let you make changes through the UI or Python.

Hevo automatically adapts to your data sources, handling schema changes, scaling, and pipeline stability without requiring engineering effort. Its architecture adjusts seamlessly to growing data volumes, delivering consistent performance for both startups and large enterprises. With strong error handling, built-in governance, and transparent pricing starting at $239/month, Hevo offers a dependable, low-maintenance solution that keeps pipelines running reliably with minimal oversight.

With strong compliance and auto-scaling that handles large datasets, Hevo helps you build reliable pipelines quickly and efficiently.

Want to try it for yourself? Book a free demo today!

FAQs

Sarthak Bhardwaj Customer Experience Engineer, Hevo

Sarthak is a skilled professional with over 2 years of hands-on experience in JDBC, MongoDB, REST API, and AWS. His expertise has been instrumental in driving Hevo's success, where he excels in adept problem-solving and superior issue management. Sarthak's technical proficiency and strategic approach have consistently contributed to optimizing operations and ensuring seamless performance, making him a vital asset to the team.