StreamSets and Matillion Data Productivity Cloud are major competitors in data integration. StreamSets takes the lead with its wide range of connectors and real-time data processing features, while Matillion stands out with its deep integration into AWS environments.
Features: StreamSets enables seamless data transformation through a wide array of connectors without coding, boasts real-time data processing, and manages data drift efficiently. Matillion simplifies data ingestion and transformation within AWS, integrates seamlessly with Snowflake, and offers a user-friendly, graphical interface for ETL processes.
Room for Improvement: StreamSets could enhance integration with non-Java platforms, improve real-time latency handling, and update its user interface. Security enhancement is also needed. Matillion would benefit from more frequent updates, improved documentation, and expanded support for more data sources. Its pricing model could be more adaptable.
Ease of Deployment and Customer Service: StreamSets offers flexibility with public, hybrid, and on-premises deployment options, though customer support experiences vary. Matillion is primarily deployed in the public cloud and integrates well with AWS Marketplace, simplifying the setup process. Customer support is effective but could be more available.
Pricing and ROI: StreamSets offers varied licensing, from free to enterprise, though pricing may not favor small businesses. It offers significant ROI through operational efficiency. Matillion's pricing is based on hourly cloud usage and team size, which can be cost-effective but also expensive, depending on requirements. Both reveal substantial ROI, with Matillion being optimal for AWS-focused environments.
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.
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.
