Users report that SAP Conversational AI excels in its integration capabilities with various SAP products, making it a preferred choice for enterprises already using SAP solutions. In contrast, Oracle Digital Assistant Cloud is noted for its strong integration with Oracle applications, which is particularly beneficial for mid-market companies.
Reviewers mention that SAP Conversational AI offers a user-friendly interface that simplifies the bot-building process, while Oracle Digital Assistant Cloud is praised for its robust setup features, with users noting a smoother onboarding experience.
G2 users highlight that SAP Conversational AI has a strong focus on generative AI capabilities, particularly in AI Text Generation, which allows for more dynamic and engaging conversations. Conversely, Oracle Digital Assistant Cloud is recognized for its AI Text Summarization features, which help in condensing information effectively for users.
Users on G2 report that both platforms have similar ratings for quality of support, but SAP Conversational AI has a slight edge in product direction, with a score of 9.3 compared to Oracle's perfect score of 10.0, indicating a strong roadmap for future enhancements.
Reviewers say that while both products meet requirements effectively, Oracle Digital Assistant Cloud has a higher score in ease of setup, making it more appealing for businesses looking for a quick deployment.
Users mention that SAP Conversational AI has a larger number of reviews, indicating a more established presence in the enterprise market, while Oracle Digital Assistant Cloud, with fewer reviews, is gaining traction in the mid-market segment.
Pricing
Entry-Level Pricing
Oracle Digital Assistant Cloud
No pricing available
SAP Conversational AI
No pricing available
Free Trial
Oracle Digital Assistant Cloud
No trial information available
SAP Conversational AI
No trial information available
Ratings
Meets Requirements
9.2
6
9.0
21
Ease of Use
8.9
6
9.0
21
Ease of Setup
9.2
6
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
8.3
6
8.6
20
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