SAP Data Services and Matillion compete in the data integration and ETL category. Based on user feedback, SAP Data Services is favored for its comprehensive capabilities, while Matillion is preferred for ease of use and integration with AWS.
Features: SAP Data Services provides robust capabilities in data migration and integration, with strong support for a wide array of databases, advanced data parsing, cleansing, and standardization. It offers multi-user support and a central security repository that enhances data handling. Matillion Data Productivity Cloud is noted for its ease of use, intuitive interface, and strong integration with AWS services. Users appreciate its cost-effectiveness and dynamic data fetching efficiency.
Room for Improvement: SAP Data Services needs better integration with web services and improved error logging. Enhanced connectivity with non-SAP systems, a web client, and improved scheduling are also desired. Matillion could improve its concurrency processing, AWS integrations, and customization options. Users also wish for a more straightforward pricing structure and better handling of data streaming.
Ease of Deployment and Customer Service: SAP Data Services supports primarily on-premises deployment, which aligns with traditional enterprise systems, and users note mixed experiences with customer service responsiveness. Matillion operates predominantly in public cloud environments, increasing its accessibility and modern infrastructure demand compatibility. Its customer service is generally seen as proactive and engaging.
Pricing and ROI: SAP Data Services is perceived as expensive, aiming at large enterprises with complex needs, offering ROI through data processing efficiency but posing challenges for smaller businesses due to traditional licensing models. Matillion offers flexible, pay-as-you-go pricing on the AWS Marketplace, appealing to variable usage patterns. Though expensive, its pricing structure supports scalability and efficient resource use, leading to a focus on operational improvements for both solutions.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
They communicate effectively and respond quickly to all inquiries.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
The level three support is better because they know what they are doing.
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.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
I would rate the stability of SAP Data Services as very stable, a ten.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
SAP Data Services does handle integration with third-party systems.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
The documentation is not up to the mark.
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.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
I really appreciate the many custom functions that exist and the ease of connecting to different SAP connections.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
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.
SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.
Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:
the product transforms data into a ready-to-use resource for business insights.
Some of the key components of SAP Data Services include:
Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.
SAP Data Services Features
The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:
SAP Data Services Benefits
This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:
Reviews from Real Users
According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.
An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.
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