Rivery vs Matillion: Compare Features, Pricing, Pros, and Cons

Key Takeaways

• Choose Rivery if you want a fully managed, cloud-native platform that automates end-to-end data workflows with broad SaaS connectivity and minimal setup.
• Choose Matillion for advanced, warehouse-native transformations, strong governance, and collaborative development.
• Go for Hevo if you prefer a balanced approach with no-code ease, real-time syncs, automation, and transparent pricing for smoother data integration.

When data teams explore modern cloud-based ETL tools, Rivery and Matillion are among the top options. Both are trusted by companies that need to move and transform data efficiently, but these tools solve the same problem in different ways.

Rivery provides teams with a flexible, fully managed way to pull data from multiple sources, transform it, and send it back to operational systems without managing infrastructure.  Matillion, on the other hand, is built for deep data transformation inside your cloud warehouse.

With two such competent tools, you might struggle to decide the right one for you. Hence, we have compared both the tools based on features, pricing, pros, and cons.

By the end of this article, you will have a clear choice that aligns best with your specific use case.

What Is Rivery?

G2 rating: 4.7 (120)

Garter Rating: 4.8 (33)

Rivery is a cloud-native ELT and DataOps platform built for data teams who need speed, automation, and control. It centralizes data ingestion, transformation, and orchestration, eliminating infrastructure complexity.

With over 200 fully managed connectors, it helps you handle complex pipelines with ease. What makes Rivery remarkable is its strong automation and ability to manage every data workflow end-to-end within a unified platform.

Key features of Rivery

• Logic Rivers orchestration: Offers a native, visual canvas to design and execute end-to-end data workflows, including conditional branching, parallel processing, and dependencies.
• Data activation: Operationalizes data through Reverse ETL and Action Rivers, to send transformed insights back into CRMs, ad platforms, and business apps to drive well-informed actions.
• Data Model Starter Kits: Provides ready-to-deploy templates for common data sources and use cases to build production-ready models without starting from scratch.
• Code-optional transformation: Gives you the flexibility to use SQL or Python for complex data transformations for efficient data shaping.
• Database replication control: Manages replication tasks with table-level configuration, real-time sync, and change tracking to ensure accuracy across databases.

Use cases

• Automated reporting pipelines: Build continuous data flows from multiple sources into your warehouse to power dashboards without manual updates.
• Data unification: Combine campaign, ad, and CRM data into a single source of truth to measure ROI and optimize customer journey.
• Operational sync: Keep business tools in sync by pushing warehouse insights back into CRMs or analytics platforms for faster, data-driven decisions.

Pricing

Rivery follows a usage-based pricing model calculated by Boomi Data Units (BDU).

• Base: $0.9/BDU credit for one environment with unlimited connections for two users.
• Professional: Two environments with access to Python code and Rivery’s API and CLI for unlimited users.
• Pro Plus: Three environments with advanced security features like single sign-on and SCIM.
•  Enterprise: Unlimited environments with features like higher sync frequencies and enterprise SLA.

You can try Rivery’s free trial with 1,000 free usage credits.

Pros and cons

Pros:

• Automatically adjusts to data volume without manual configuration
• Dynamic variable management simplifies environment switching and parameter control.
• Dedicated customer support and onboarding services.

Cons:

• Lacks a built-in data catalog or lineage visualization.
• Pricing can get expensive at scale.
• Error messages can be unclear compared to other Rivery alternatives.

What Is Matillion?

G2 rating: 4.4 (81)

Garter Rating: 4.4 (174)

Matillion is a cloud-native data integration and transformation platform for modern data teams. It helps you prepare, move, and transform data at scale with more than 150 connectors like Snowflake, BigQuery, and Redshift.

It offers a visual interface that simplifies complex ETL processes. What sets Matillion apart is its focus on scalability, enterprise-grade governance, and native integration with leading cloud ecosystems.

Key features of Matillion

• Elastic scalability: Automatically uses the scalable compute of your cloud data warehouse to handle fluctuating data loads.
• Native push-down ELT: Executes transformations directly within your cloud data warehouse to speed up performance and cut processing overhead.
• AI-assisted development: Lets you build, annotate, and document workflows through natural prompts using Maia, the built-in AI data engineer.
• Git and DevOps integration: Facilitates collaboration and CI/CD deployment, ensuring every pipeline version stays traceable across multiple environments.
• Custom connector builder: Provides a no-code interface to link any REST API or unique data source.

Use cases

• Warehouse modernization: Migrate legacy ETL processes into cloud-native data warehouses while maintaining data quality and performance.
• Team-based pipeline development: Allow multiple data teams to build, test, and deploy workflows collaboratively with shared version control.
• Batch analytics processing: Transform large datasets through scheduled workflows to power dashboards and reporting with consistent, reliable updates.

Pricing

Matillion offers a flexible tier-based pricing model.

• Developer: For one user, includes unlimited projects, coding flexibility, and a Git repository.
• Teams: For five users, includes audit log and standard customer support.
• Scale: For five users, includes advanced security, hybrid cloud deployment, and other enterprise-grade features.

A free trial with 500 free credits is available.

Pros and cons

Pros:

• Offers end-to-end data lineage.
• Simple framework for building and managing pipelines with PipelineOS.
• Supports reverse ETL.

Cons:

• Costs are unpredictable and can get expensive.
• Limited administrative APIs compared to some Matillion alternatives.
• Some users have reported slow response times.

Rivery vs Matillion vs Hevo: Detailed Comparison Table

Reviews	4.4 (250+ reviews)	4.5 (120+ reviews)	4.4 (80+ reviews)
Core functions	DataOps orchestration & pipeline automation	Warehouse ELT & transformations	ELT/ETL automation
Ease of use	Easy	Moderate	Easy
Connector	200+	150+	150+
Real-time sync
Deployment	Cloud-native	Cloud-native	Cloud SaaS
Transformations	Post-load transformations	Pre- and post-load transformations	Pre- and post-load transformations
AI capabilities	AI-powered automation	Maia AI assistant	Builds AI-ready pipelines
DevOps Integration	CLI and API	Git, and CI/CD	API support
Reverse ETL
Customer support	Ticket-based responsive support	Tier-based support, paid support plans	24/7 chat, email
Security compliance	SOC 2 Type II, GDPR, and HIPAA	SOC 2, ISO 27001, and PCI DSS 4.0.1	SOC 2 Type II, GDPR, HIPAA, and CCPA
Free plan
Free trial
Starting Price	$0.9/BDU credit	Custom pricing	$239/month

Matillion vs Rivery: In-Depth Feature & Use Case Comparison

Now that we have the basics of both tools covered, let’s take a closer look at how Matillion and Rivery perform across different aspects of data integration.

1. Ease of use

Rivery focuses on speed and simplicity. Its clean interface makes building and automating data pipelines straightforward, even for teams without technical expertise.

Matillion also offers an intuitive visual workspace, but it involves more setup and configuration. It feels more technical and might not be suited for complete beginners.

If you want minimal complexity, Rivery might feel easier to work with. However, if you have the resources to manage the technical requirements, Matillion provides greater flexibility.

Rivery:

Rivery is my go-to solution for seamlessly connecting and managing all our data sources in one central hub. With its user-friendly design, even individuals with varying technical expertise, like myself, find it incredibly easy to navigate and execute various data integration tasks. One standout feature that I really appreciate is its scalability. In our business, where we deal with substantial volumes of data, Rivery is tailored to handle these large datasets efficiently, ensuring a smooth data integration process.

shivani p.

Research Data Scientist - I

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. Integration and connector breadth

Rivery offers over 200 fully managed connectors covering a wide range of SaaS platforms, databases, and APIs. It also provides custom API integration capabilities. Rivery internally maintains all connectors for pipeline stability as source systems evolve.

Matillion provides more than 150 connectors focused on cloud data warehouses, such as Snowflake, Redshift, and BigQuery, along with a builder for custom REST API integrations.

Both Matillion and Rivery, when compared to tools like Fivetran, do not have massive libraries but still offer reliable support. Rivery works better for broader SaaS connectivity, while Matillion excels in warehouse-native integrations.

Rivery:

Rivery has a wide range of connectors to marketing platforms which has meant that we were able to connect to all platforms used at our company through a single tool and easily configure reports. Their customer success support was really great during implementation. We now have rivers that pull data daily for analysis.

Verified User in Financial Services

User in Enterprise

Matillion:

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

3. Customer support

Rivery’s support team is known for being responsive and approachable. Its dedicated assistance and guided onboarding make it easier for new teams to start confidently.

Matillion offers dependable enterprise-grade support with detailed documentation and escalation channels. However, their response time varies by plan, and users have often reported delays.

Hence, Rivery stands out for faster, more personal guidance.

Rivery:

The people who works in Rivery are good people and friendly which is most important! The attitude to customer and his needs are very important. We have good relationship with various people in the team and requests are being fulfilled based. Also when then are issues which we needwd help, we always received it with pleasure. It is a product which is always being updated and try to fit the new neeeds in the market. The setup to source system and overall is very fast and it is good product for fast developing! We do recommend it for other customers. I personally love working with all of the teams in Rivery (support, product, SA, account mangers).

Amit K.

Senior BI Engineer

Matillion:

The first line of defense for customer service is not great. Overtime I\'ve learned where I need to go for answers but customer service definitely isn\'t it.

Verified User in Financial Services

User in Mid-market

4. AI capabilities

Rivery includes automation that simplifies pipeline management, but its AI features are still developing. While it can generate code and help with visual insights, it focuses more on orchestration and automation logic rather than intelligent suggestions.

Matillion’s Maia connects with AI copilots across your data stack to build a more adaptive data engineering environment. You can annotate and document pipelines with natural prompts. It also assists in writing SQL and creating transformation logic quickly.

This gives Matillion the upper hand with its AI-driven productivity.

5. Pricing

Rivery’s pay-as-you-go model, based on Boomi Data Units, offers flexibility for teams that want to scale gradually.

Matillion follows a tiered pricing structure tied to team size and usage, which is more suitable for enterprises.

Both tools can get expensive as workloads expand. Rivery is usually more cost-effective for smaller projects, while Matillion fits better when data complexity and team size increase.

Rivery:

Transparent and flexible pricing: Rivery\'s pricing model is straightforward, allowing for easy budgeting and cost management. Additionally, their provision to roll over unused credits YOY aligns with our business needs.

Tamar C.

Senior Data Analyst

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 Rivery

Rivery is the ideal choice if your data strategy depends on speed, cross-functional data activation, and minimal maintenance. It is built for teams who need a unified, cloud-native platform to manage the full data lifecycle, without getting bogged down in infrastructure.

If your team is resource-constrained and values a faster time-to-value without compromising on powerful orchestration, Rivery provides the unified solution you need.

Want to know how Rivery performs against other tools? Here’s a detailed comparison between Rivery and Informatica.

When to Choose Matillion

Matillion is a great fit if your data operations revolve around complex warehouse transformations and collaboration at scale. If your team already works within Snowflake, BigQuery, or Redshift, Matillion integrates naturally into that workflow.

Choose it when governance, security, and deep customization matter more than speed of setup. You’ll get the most value from Matillion if you have a technical team to utilize its flexibility and AI-assisted development to build powerful, warehouse-native data pipelines.

If you still want to explore tools, here’s a detailed AWS Glue vs Matillion comparison article.

Why Does Hevo Stand Out?

Hevo offers a balanced approach to data integration compared to Matillion and Rivery. It connects 150+ SaaS apps, databases, and warehouses with enterprise-grade security, while maintaining a fully no-code experience.

The platform prioritizes real-time sync and automatically scales as your data grows without manual configuration. Hevo supports both pre- and post-load transformations and allows SQL-based logic for flexible control.

Apart from the ease, Hevo’s predictable, event-based pricing starts at $239 per month with no hidden fees. This makes it an ideal choice for both growing and established teams alike.

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

FAQs on Rivery vs Matillion

Skand Agrawal Customer Experience Engineer, Hevo Data

Skand is a dedicated Customer Experience Engineer at Hevo Data, specializing in MySQL, Postgres, and REST APIs. With three years of experience, he efficiently troubleshoots customer issues, contributes to the knowledge base and SOPs, and assists customers in achieving their use cases through Hevo's platform.