The SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier with Generative AI-led integration. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further by solving the fundamental app & data integration issues. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business in a low-code environment. SnapLogic also provides a flexible AI architecture that enable customers to leverage current & future GenAI solutions to develop generative AI applications faster while controlling costs. SnapLogic not only helps organizations with app & data integration but consequently allows organizations to focus solely on creating complete GenAI applications without data science expertise.
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Low code nature seamless deployment capability Prebuilt connectors for endpoints
Lot of built in snaps and easy to use
Reusable pipeline templates and adoption of standardization are major goals, indicating that the platform supports such best practices. Flexibility to integrate across multiple systems like GCP, Salesforce, SAP, Vericent and multiple other internal applications was a key strength in our cutover planning. The ability to implement error handling frameworks and governance processes within SnapLogic showcases its customizability and control for enterprise needs. The platform supports manual deployments with governance, giving you oversight even without CI/CD.
Facing performance issues while processing high volume of data.
Unstable releases and poor resolution service in case of issues
Lack of proactive communication on updates from SnapLogic, leading to unexpected disruptions. Technical issues JCo connection failures and missing function modules after restart, requiring escalations. Fragility during deployment where account references can be lost. License constraints, forcing you to downsize non-prod instances and optimize usage, which added complexity. No CI/CD capability planned, making deployments manual and governance heavy.