Matillion Data Productivity Cloud and Striim compete in the data integration and transformation category. Matillion has an advantage in pricing and customer support, whereas Striim is preferred for its advanced feature set.
Features: Matillion Data Productivity Cloud offers robust data transformation tools, simplifying workflows with ease of use, efficient data management, and a user-friendly interface. Striim provides real-time data integration, immediate data insights, and advanced processing capabilities, appealing to those needing real-time processing.
Ease of Deployment and Customer Service: Matillion offers easy deployment and strong customer service, appreciated in user feedback. Striim, while offering a straightforward deployment, requires a comprehensive setup due to its complexity, potentially affecting initial onboarding time.
Pricing and ROI: Matillion is noted for competitive pricing and high ROI, making it attractive for budget constraints. Striim’s higher costs are justified by its advanced integration features, enhancing long-term ROI for businesses requiring continuous real-time analytics.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
The incidents have disappeared completely since I have been using Striim.
Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.
Since it is now one to two hours, I would say it has saved employee hours and time.
They communicate effectively and respond quickly to all inquiries.
They are all knowledgeable about what they do.
When you contact them, they give you a response straight away and help you identify the issue and fix it.
The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.
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.
Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.
I would describe the scalability of Striim as very good, as it adapts well.
Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.
That problem has been completely resolved with Striim.
Striim was very stable.
In my experience, Striim is mostly stable.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.
They could improve the documentation by showing how to configure with different platforms.
I think Striim could be improved with better pricing and enhanced documentation.
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.
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
It's very fair.
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.
Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.
There were significant improvements because once we enabled change data capture, the database was not going down at all.
It reduces manual intervention because it automatically syncs the data from the warehouse.
| Product | Mindshare (%) |
|---|---|
| Matillion Data Productivity Cloud | 4.6% |
| Striim | 1.2% |
| Other | 94.2% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 9 |
| Large Enterprise | 12 |
Matillion Data Productivity Cloud offers a user-friendly platform for seamless integration and dynamic data handling, favored for simplifying ETL processes with minimal coding and ensuring robust performance in complex data tasks.
Matillion Data Productivity Cloud integrates effortlessly with platforms like AWS, Snowflake, and SQL databases, providing tools for efficient data migration, transformation, and cloud warehousing. It supports large datasets with swift management, making it valued for its graphical interface that eases ETL processes for non-technical users. Automation features ensure scalability and dynamic data handling across diverse sources, while security and cost-effectiveness enhance its appeal. Enhancements in database connectivity, interface design, and multi-environment support would refine user experience, with growing demands for real-time data capture, SAP connectivity, and frequent API updates.
What are the most important features?In industries like finance, healthcare, and retail, Matillion Data Productivity Cloud is implemented for transforming data operations. Companies leverage it for its speed in data processing and integration capability, facilitating rapid adaptation to data-driven insights crucial in these sectors.
Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.
Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.
What are some key features of Striim?In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.
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