

SnapLogic and StreamSets are powerful tools competing in the integration platform-as-a-service market. SnapLogic seems to have the upper hand for simplifying complex integrations through a low-code environment, while StreamSets excels in handling batch and streaming data, especially for data drift resilience.
Features: SnapLogic stands out with its low-code environment, rapid connectivity to systems like SOAP and Salesforce, and flexibility in deploying custom scripts. Its hybrid cloud capability supports various infrastructures. StreamSets provides strong batch and streaming data capabilities and supports platforms like AWS S3 and Hadoop. It includes DataOps load balancing and data drift management, with a user-friendly drag-and-drop interface. SnapLogic is preferred for high-volume data transfers, while StreamSets is favored for easy data streaming.
Room for Improvement: SnapLogic could improve by expanding canned integrations, API monitoring, and supporting complex processes. Enhancements in debugging and error handling are needed. StreamSets may benefit from better memory management and logging. Improved documentation and streamlined configuration could mitigate its learning curve. Both platforms would gain from enhancing real-time processing and API management.
Ease of Deployment and Customer Service: SnapLogic offers smooth hybrid cloud deployment with highly rated customer support, though faster issue resolution is desired by some users. StreamSets provides versatile deployments in public and hybrid clouds but could improve its support model through better documentation and quicker issue resolution without extra charges.
Pricing and ROI: SnapLogic offers good value, albeit with a higher upfront cost associated with consumption and complexity of integrations. It delivers strong ROI through usability and efficiency. StreamSets appeals to budget-conscious businesses with an open-source version, though its paid options might be costly for smaller enterprises. Both platforms have demonstrated strong ROI with significant time and cost savings in integrations.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
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.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
I rate the scalability of SnapLogic as eight out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
I would rate the stability of SnapLogic as nearly ten out of ten.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
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.
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
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.
It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Market Share (%) |
|---|---|
| SnapLogic | 1.1% |
| StreamSets | 1.2% |
| Other | 97.7% |

| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
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.
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