StreamSets and Matillion Data Productivity Cloud both compete in the data integration and ETL platform category. Based on the comparisons, StreamSets seems to have an upper hand in flexibility and handling complex data transformations, while Matillion shines in AWS integration and user interface.
Features: StreamSets offers a robust array of connectors, a no-code platform for data pipeline creation, and efficient handling of data drift. Matillion excels in seamless AWS integration, efficient ETL processing, and a user-friendly graphical interface.
Room for Improvement: StreamSets could enhance its integration with newer platforms like .NET and improve logging and security features. Matillion could benefit from addressing API change issues, improving integration capabilities, and optimizing user interface efficiency for diverse data sources.
Ease of Deployment and Customer Service: StreamSets supports hybrid cloud deployments and offers mixed experiences in customer support. It has been noted for its steep learning curve but provides thorough documentation. Matillion, predominantly in public and private clouds, also receives mixed feedback in support, though it is known for its ease of use and accommodates robust documentation.
Pricing and ROI: StreamSets offers a free community version with costly commercial licenses but provides significant ROI in reduced workload and costs. Matillion uses a flexible consumption-based pricing model focused on data engineering team size and AWS usage, which users find cost-effective when scaled properly. Both solutions have strong ROI potential, with StreamSets excelling in a comprehensive feature set and Matillion in convenience of AWS integration.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They communicate effectively and respond quickly to all inquiries.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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 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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
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.
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
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