

Matillion Data Productivity Cloud and Fivetran compete in the data integration and ETL market. While Matillion excels in integration capabilities, particularly with AWS, Fivetran has the upper hand in automation and real-time data integration.
Features: Matillion Data Productivity Cloud shines with capabilities such as robust integration with AWS services, built-in verification, scheduling, and numerous data source components. It efficiently streamlines data movement from sources like Salesforce to Redshift. Fivetran, on the other hand, stands out for its automated data pipelines, managed pipelines, and integration with DBT for transformations. Its focus on ease of use and real-time data integration is highly beneficial for businesses seeking minimal intervention in ETL processes.
Room for Improvement: Matillion users highlight the need for more frequent API releases to keep up with changes from systems like Google and Facebook, and suggest better user documentation and enhanced integration capabilities with on-premise sources. Fivetran's improvement areas include enhancing data pipeline observability, expanding connector support, and offering more customization options. Additionally, improvements in pricing transparency and real-time data processing speed are needed.
Ease of Deployment and Customer Service: Matillion offers flexibility with public and private cloud deployment options, complemented by responsive customer service and extensive documentation. Fivetran supports various cloud environments but users note less transparency in pricing and contract processes. Its customer service is praised, but some users desire better access to technical support documentation.
Pricing and ROI: Matillion provides a flexible cost model based on team size and machine usage, with potential discounts via AWS Marketplace. Despite its moderate expense, its comprehensive capabilities are deemed cost-effective. Fivetran uses a database-driven and usage-based pricing model, often considered costly. Larger enterprises may benefit from scaling discounts, but smaller companies may find it less economical. Both platforms report quick ROI through significant time and cost savings.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
They communicate effectively and respond quickly to all inquiries.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
When we tried to use a built-in Oracle connector, it didn't allow for the tweaks we needed, which led us to the SDK connector route and caused delays in development.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
Our current yearly contract for Fivetran is approximately $70,000.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
| Product | Market Share (%) |
|---|---|
| Fivetran | 4.5% |
| Matillion Data Productivity Cloud | 5.1% |
| Other | 90.4% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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