

SAP Data Services and Rivery are competing data integration platforms. SAP Data Services provides a robust environment with comprehensive capabilities, whereas Rivery's flexible deployment options and cost-effectiveness make it a more attractive solution for many organizations.
Features: SAP Data Services offers strong data integration, cleansing, and transformation features, valuable for complex enterprise environments. Rivery focuses on agile data pipeline management, cloud-native automations, and extensive support for real-time operations, emphasizing adaptability and ease of use. Key differences include SAP's in-depth data processing focus versus Rivery’s flexibility.
Ease of Deployment and Customer Service: Rivery provides a seamless deployment model with quick integration capabilities and strong customer support, offering flexibility in operations. SAP Data Services requires a complex setup with extensive documentation, emphasizing a detailed setup process compared to Rivery’s efficient interaction and quicker deployment.
Pricing and ROI: SAP Data Services involves a higher initial setup cost but offers significant long-term ROI for enterprises with comprehensive data management needs. Rivery offers a cost-effective entry with scalable pricing, delivering quick ROI through its agile cloud-centric model, highlighting SAP’s comprehensive functionalities versus Rivery's cost-effectiveness and swift returns.
It saved my team time and really reduced manual work, so overall, it improved efficiency.
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
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.
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
Customer support is great; they are answering really fast.
The customer support for Rivery is excellent.
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.
It has handled growing data volumes and additional pipelines without major issues.
The focus is on the ability to connect to different sources and to put all the data together.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
I found the tool very easy to use, allowing me to gain a lot of insights.
The excellent support we received from Rivery team contributes to this perception.
I would rate the stability of SAP Data Services as very stable, a ten.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
SAP Data Services does handle integration with third-party systems.
The documentation is not up to the mark.
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
The main benefit Rivery brought to my organization was the time we were able to save on development.
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
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.
It remains a fast data-moving tool, faster than most new ones.
| Product | Mindshare (%) |
|---|---|
| SAP Data Services | 1.5% |
| Rivery | 0.6% |
| Other | 97.9% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
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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