

SAP Data Services and SnapLogic are prominent players in data integration and processing. SAP Data Services has the upper hand with its robust ETL capabilities and broad database support, making it suitable for complex enterprise environments, while SnapLogic stands out for its low-code development and flexibility, ideal for rapid deployment and prototyping.
Features: SAP Data Services offers seamless integration within SAP environments, enhanced by multi-user support and secure central repositories. It provides data quality transforms for cleansing, matching, and consolidation. SnapLogic prioritizes ease of use through its no/low-code environment, allowing users to create integrations via a user-friendly drag-and-drop interface. Its flexibility in integrating with third-party applications and AI-driven features is beneficial for scenarios requiring swift deployment.
Room for Improvement: SAP Data Services needs to improve in web services integration, enhancing user-friendliness, and maintaining stable environments for multiple users. SnapLogic could benefit from better error management, data transparency, and enhanced support for complex integrations such as large dataset processing.
Ease of Deployment and Customer Service: SAP Data Services is mainly on-premises, offering scalability for SAP environments but limited cloud flexibility. Its technical support is effective but occasionally slow. SnapLogic provides hybrid cloud deployment, enabling flexible integrations, with its support generally rated highly but with scope for faster response times.
Pricing and ROI: SAP Data Services is often considered expensive with its enterprise-level features, yet it offers strong ROI through reduced application deployment time, though the cost can be prohibitive for smaller organizations. SnapLogic's consumption-based pricing is more affordable, with its flexibility and ease-of-use justifying costs, especially for complex, low-code integrations, generally delivering better value for smaller-scale applications.
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.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.
It improved our productivity by fifteen percent and shifted work from IT to business users.
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.
The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.
SnapLogic is very scalable, and it can be adjusted based on our requirements, considering the organization type and the data it produces.
SnapLogic is easily scalable.
I would rate the stability of SAP Data Services as very stable, a ten.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
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.
We require a data pipeline that can be read without latency and without any delay.
Having more granular control and deeper insights into execution performance would really help.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
In terms of setup cost, it is relatively low compared to traditional on-premises tools.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
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.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.
SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.
| Product | Mindshare (%) |
|---|---|
| SnapLogic | 1.3% |
| SAP Data Services | 1.5% |
| Other | 97.2% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
SAP Data Services is a comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.
SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.
What are the key features of SAP Data Services?SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.
SnapLogic offers a flexible, low-code environment for data integration and automation, utilizing an intuitive drag-and-drop interface with pre-built components to streamline the integration of multiple systems like Salesforce, SAP, and Workday, optimizing workflow automation.
SnapLogic provides robust ETL capabilities and broad connectivity options, enabling custom script implementation. Its visual design supports seamless deployment and efficient error management. Users benefit from automating data flows and enhancing data consistency through API integrations while managing both synchronous and asynchronous processes. However, areas needing improvement include user-friendly integrations, API management, and dashboard functionalities, as well as better transparency and error debugging. There is a call for improved handling of large datasets, enhanced connectivity, and advanced monitoring, DevOps integration, and AI functionalities. Customer support and documentation could be more comprehensive, especially for intricate operations.
What are SnapLogic's key features?In industries like finance, healthcare, and logistics, SnapLogic is extensively implemented for ETL processes, data migration, and automating complex workflows to improve data accuracy and enhance operational efficiency. These capabilities allow organizations to streamline operations and focus on strategic initiatives.
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