Data is the new currency in today’s world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze vast amounts of it. Various tools are available, among which Alteryx and Matillion stand out as two of the leading ETL solutions. Each has different features and capabilities to offer and cater to different business needs. 

In this blog post, we’ll head-on compare and contrast Alteryx vs Matillion. At the end of the blog, you’ll get a clear idea of the solution for your business needs.  

Alteryx Overview

G2 Rating: 4.6 out of 5 stars (619)

Gartner Rating: 4.5 out of 5 stars (496)

Alteryx logo

Alteryx is an end-to-end unified platform for data analytics. From providing ETL/ ELT services to data prep for analysis and reporting, Alteryx can do it all. Its user-friendly drag-and-drop interface allows users to build complex workflows and pipelines without the need for high-level coding. It supports a variety of sources with data warehouses such as AWS Redshift, Google BigQuery, Snowflake, etc. 

Key Features of Alteryx

  • Intuitive UI: There is no need for extensive coding knowledge. With its drag-and-drop tool, anyone can easily use Alteryx to ingest and transform data. 
  • Advanced ETL Capabilities: It also provides predictive analytics and machine learning capabilities to turn data into insights faster. 
  • Security and Compliance: It is ISO 27001 certified and GDPR, SOC 2 Type II, and HIPAA compliant. 
  • Automated Workflows: Alteryx allows the creation and updation of automated workflows to reduce repetitive work. 
  • Community Support: Alteryx has extensive community support, which can be very helpful if you get stuck while performing tasks or creating workflows. 

Pricing

Along with a free trial, Alteryx offers two editions of pricing : 

  • Designer Cloud: Starting at $4950 per user/ year for the Professional plan. You can get a quote from their sales team for the Enterprise plan for large organizations with advanced controls and security.
  • Designer Desktop: Starts at $5195 

Learn more about their pricing here. 

Ideal Use Cases for Alteryx 

  • Alteryx is ideal for organizations that perform complex data preparation tasks like data cleaning, transformation, and blending from various sources. 
  • It is also a preferable choice for teams without extensive coding experience. Its intuitive interface makes it easy for teams to maintain ETL workflows
  • Also, if your business requires advanced analytics, such as predictive modeling or geospatial analysis, Alteryx has the tools to perform them efficiently. 

Confused Between Alteryx and Matillion? Try Hevo

Consider Hevo as a streamlined alternative to Alteryx and Matillion. Hevo combines the best of both worlds with its multitude of features.

  • No-Code Data Pipelines: Build complex data pipelines without writing a single line of code.
  • 150+ Pre-Build Connectors: Connect swiftly and efficiently with a wide range of data sources and destinations.
  • Automated Data Transformations: Seamlessly transform data with pre-built functions and custom SQL.

Discover what Hevo can do for you.

Get Started with Hevo for Free

Matillion Overview

G2 Rating: 4.4 out of 5 stars (77)

Gartner Rating: 4.2 out of 5 stars (135)

Matillion logo

Matillion is a unified platform for building data pipelines with or without code. It transforms data directly within your cloud platform, like cloud data warehouses.  Matillion allows you to create highly scalable pipelines in minutes. Matilion provides 150+ pre-build connectors for seamless integration with various data sources and destinations like Snowflake. 

Key Features of Matillion

  • User-Friendly Interface: Matillions allows you to choose between no-code and high-code experiences, which makes it user-friendly for both technical and non-technical users. 
  • AI Capabilities: It provides tools like copilot to build complex data pipelines from simple language prompts using AI. 
  • Transformation Capabilities: Matillion allows complex data transformations using dbt, Python, and SQL. 
  • Security and Compliance: It is CCPA, HIPAA, GDPR, SOC2 type II compliant.
  • Cloud-Native: Its cloud-native design allows it to scale easily as the data grows, making it an ideal choice for companies using cloud data warehouses. 

Pricing

Matilion provides flexible data integration pricing that can be predicted. It allows additional add-ons for enterprise customers, proving AI Capabilities and dedicated support. Its pricing is divided into three tiers : 

  • Basic: $2.00/ credit starting at 500 credits a month for up to 5 users. 
  • Advanced: $2.50/ credit starting at 750 credits a month with unlimited users. 
  • Enterprise: $2.70/ credit starting at 1000 credits a month, providing all the Advanced features, hybrid cloud deployment, and CDC pipelines. 

Learn more about their pricing here.

Ideal Use Cases for Matillion

  • Matilion is the ideal choice for organizations that already use cloud data warehouses and need a solution to help them effortlessly integrate with platforms like Snowflake, Redshift, and BigQuery. 
  • Due to its cloud-native design, Matillion is also an excellent choice for organizations that need scalable workflows and are managing large datasets. 
  •  It is also cost-effective for organizations looking to optimize their data integration and transformation processes. 

Comparison Table – Alteryx vs Matillion vs Hevo Data

FeaturesAlteryx MatillionHevo Data
G2 Ratings4.6 / 5 (619)4.4 / 5  (77)4.3 / 5 (234)
Deployment TypeOn-premise, Cloud, HybridCloud-nativeCloud-native
InterfaceDrag-and-drop, user-friendlyUser-friendly No-code, Intuitive
Scalability Moderate Scales with cloud setupHighly scalableHigh, designed for cloud scalability 
Data IntegrationExtensive connectorsDeep integration with cloud warehouses150+ connectors, real-time integration
AutomationWorkflow automationAutomated job orchestration, schedulingFully automated data pipelines, scheduling
Transformation Capabilities Data prep, cleansing, and blendingPost-Load Transformations onlyBoth pre-load and post-load transformation 
Pricing & CostSubscription-basedUsage-based Transparent and predictable pricing
Support & CommunityStrong, extensive resourcesDocumentation and additional paid support Strong customer support (live chat and email support) 
Security & ComplianceGDPR, SOC 2 Type II, and HIPAA compliant. SOC 2, HIPAA, GDPR CompliantSOC 2, HIPAA, GDPR Compliant, and end-to-end encryption
Best forComplex data prepCloud data warehouse integrationReal-time data integration,no-code setup

Key Differences Between Alteryx vs Matillion

Ease of Use

Alteryx is very easy to learn and use. With its drag-and-drop interface, Anyone can use Alteryx to build data pipelines and perform complex data analysis and visualization tasks. Tutorials are available, and there is a widespread community to help if you get stuck. 

On the other hand, Matillion also has a user-friendly interface that is easy to use. It offers both no-code experiences for novices and high-code experiences for developers. However, its data transformation might require dbt, Python, or SQL knowledge. For people new to cloud data warehousing, the learning curve might be steeper than Alteryx’s.

Integration and Deployment

Alteryx offers 90+ connections and drivers to facilitate seamless integration between enterprise sources and destinations such as BigQuery and Redshift. It also provides various deployment options, such as on-prem, cloud, and hybrid, to meet varied business requirements. 

Matillion, on the other hand, is a cloud-native platform that connects with over 150 connectors from data sources to destinations like Snowflake, BigQuery, etc. Since it is a cloud-native platform, it can only be deployed on the cloud.  

Performance and scalability 

Alteryx can handle large datasets easily but may not scale as seamlessly as Matillion in the cloud. However, its performance is robust for on-prem and hybrid deployments, making it a good choice for various scenarios. 

Matillion’s cloud-native architecture can handle and scale large data sets quickly and efficiently. Its ability to swiftly ingest and transform big data in cloud data warehouses makes it an ideal choice for organizations performing big data analytics.

Pricing 

Alteryx offers subscription-based pricing, which includes all the features such as data preparation, blending, and analytics, making it an end-to-end solution. This pricing model is more predictable for organizations. Alteryx also provides different pricing models for its on-prem and cloud solutions. 

In contrast, Matillion provides usage-based pricing in terms of credits, i.e., the cost is determined based on the resources used. It also offers three types of pricing models: Basic, Advanced, and Enterprise pricing, each designed to meet different business needs. 

Customer support and community

Both Alteryx and Matillion offer strong customer support. Alteryx’s community is more robust and has many active contributors and a wealth of resources, including tutorials, which makes it easier for new users to learn and find solutions to their queries. 

Matillion offers enterprise support, but it is an additional feature that needs to be purchased separately. There is extensive documentation for general queries and learning. Matillion’s community is not that widespread. 

Alteryx vs Matillion: Which One Should You Choose?

Ultimately, the choice between Alteryx and Matillion depends on your organization’s needs and requirements. Alteryx offers an end-to-end solution for data preparation, complex transformation, and advanced analytics, making it ideal for an all-in-one solution for decision-making and analytics. Also, if you prefer an on-prem/ hybrid solution, then Alteryx should be your go-to choice. In contrast, if your organization prefers a scalable solution and has already adopted cloud data warehousing, then Matillion should be the perfect solution. Your decision should reflect the specific workflows, infrastructure (data sources and destinations), and long-term goals of your organization’s data strategy. 

Why Hevo Could Be Your Next Data Integration Solution

Hevo is an intuitive, no-code data pipeline platform that can be an alternative to Alteryx and Matillion. It is designed to make the data migration and transformation process effortless. Thousands of customers from more than 40 countries trust Hevo for their data integration and transformation needs. Hevo helps organizations make swift, data-driven decisions. With Hevo, you get a fault-tolerant architecture that scales easily and has low latency. 

With its automated schema mapping feature, users don’t need to manually create and maintain schemas in the destination. Hevo also provides pre-load and post-load transformations, so your data is always ready for analysis. Experience all this with transparent pricing and 24/7 support.

Conclusion

Both Alteryx and Matillion are top contenders in data integration and analytics. However, each might cater to different business needs and requirements. Choosing the tool depends on the organization’s current infrastructure, team expertise, and long-term goals for its data strategy.

Additionally, Hevo Data might be a compelling alternative to Alteryx and Matillion. Its extensive connections, easy-to-use interface, transparent pricing, and scalability make it a go-to choice for data migration. Evaluating Hevo alongside Alteryx and Matillion can provide a broader perspective and help identify the best fit for your organization’s data management needs.

FAQs

1. What is the difference between Alteryx and Matillion?

Alteryx focuses on advanced analytics and complex data preparation, while Matillion focuses on cloud-native data integration optimized for cloud data warehouses.

2. Who are Matillion competitors?

Hevo Data, Alteryx, and Airbyte are often regarded as Matillion competitors.

3. Is Alteryx a good ETL tool?

Alteryx is a robust ETL tool known for its advanced analytics, comprehensive data preparation capabilities, and user-friendly interface.

4. Is Matillion an ETL tool?

Yes, Matillion is an ETL tool designed for cloud data integration.

Suraj Poddar
Principal Frontend Engineer, Hevo Data

Suraj has over a decade of experience in the tech industry, with a significant focus on architecting and developing scalable front-end solutions. As a Principal Frontend Engineer at Hevo, he has played a key role in building core frontend modules, driving innovation, and contributing to the open-source community. Suraj's expertise includes creating reusable UI libraries, collaborating across teams, and enhancing user experience and interface design.