Matillion Data Productivity Cloud and Fivetran compete in the data integration space. Users suggest Matillion has a pricing and support advantage, while Fivetran stands out for quick setup and robust features.
Features: Matillion is valued for ease of setup, comprehensive data sampling, and automation. It integrates seamlessly with AWS Redshift and various AWS services, providing a user-friendly interface. Fivetran shines with seamless data replication, extensive connectors, and easy integration with business applications. It also supports real-time data needs with fast pipeline setup and unique transformation integrations.
Room for Improvement: Matillion needs more frequent API updates, improved user documentation, and expanded database integrations. Enhancing processing capacity to address concurrency limits is also essential. Fivetran can improve pipeline observability, expand third-party API integrations, and provide more cost-effective pricing for large data volumes. Enhancing real-time data handling and connector availability is also necessary.
Ease of Deployment and Customer Service: Both Matillion and Fivetran offer robust public cloud deployment options. Matillion adds flexibility with private cloud configurations. Users commend Matillion's responsive technical support and extensive resources like YouTube tutorials. Fivetran offers quick response customer service and comprehensive online support, making both platforms easy to deploy.
Pricing and ROI: Matillion charges per runtime, offering cost-effective solutions particularly through the AWS Marketplace, and is seen as more affordable for large-scale deployments. Fivetran’s usage-based pricing suits large organizations but can be costly for smaller budgets. Both platforms report ROI within a year, with Fivetran noted for less expensive startups and competitive scaling for extensive data sources.
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 | 5.5% |
Matillion Data Productivity Cloud | 5.1% |
Other | 89.4% |
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.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.