Oracle Digital Assistant vs. Rasa

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Digital Assistant
Score 7.9 out of 10
N/A
Oracle Digital Assistant delivers an AI platform to create conversational experiences for business applications through text, chat, and voice interfaces.
$1,160
per month 200 hrs/month
Rasa
Score 8.4 out of 10
Enterprise companies (1,001+ employees)
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale. Rasa’s conversational AI platform allows companies to build better customer experiences by lowering costs through automation, improving customer satisfaction, and providing a scalable way to gather customer…
$0
Pricing
Oracle Digital AssistantRasa
Editions & Modules
No answers on this topic
Developer Edition
$0
Growth
starting at $35k
Enterprise
Contact Sales
Offerings
Pricing Offerings
Oracle Digital AssistantRasa
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Oracle Digital AssistantRasa
Best Alternatives
Oracle Digital AssistantRasa
Small Businesses

No answers on this topic

LocaliQ
LocaliQ
Score 8.8 out of 10
Medium-sized Companies

No answers on this topic

Piper the AI SDR by Qualified
Piper the AI SDR by Qualified
Score 9.2 out of 10
Enterprises

No answers on this topic

Conversica
Conversica
Score 4.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Digital AssistantRasa
Likelihood to Recommend
7.8
(7 ratings)
8.4
(4 ratings)
Usability
-
(0 ratings)
7.0
(4 ratings)
User Testimonials
Oracle Digital AssistantRasa
Likelihood to Recommend
Oracle
As mentioned in pros and cons, it depends on the use cases. Most of the normal chatbot use cases can be handled by ODA. If you want to build a chatbot with menu style or conversation style (it is not straight forward but it can be done), ODA can be perfect. If use cases are to also include AI with emotional intelligence to make conversational more interactive and also be able to detect through AI engine automatically what a person would like to do or perform or ask, then ODA may not fit for it. If you also are looking for virtual agents through tighter IVR integration then ODA may not be right. There are a few limitations around the number of words in the text to voice feature.
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Rasa Technologies Inc
Rasa Pro is well suited for corporate use and for chatbots which require backend connections. Smaller chatbots with a few flows might be better served with a simple dialogue engine and custom AI agents, or Rasa Open Source. Rasa does not come with its own complex vector database, just in-memory FAISS and connectors to external vector DB's such as Milvus and Qdrant. It provides only a basic document parser and embedder for FAISS. If you need to build a RAG focused chatbot around a large knowledge base with complex documents, e.g. lots of MS Word or PDF files, you'll have to build a separate document parser and embedder, as well as your own semantic search engine
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Pros
Oracle
  • Oracle AI processes natural language well and the conversations pick a good flow.
  • It recognizes pattern of behavior for more refined results with each implementation under machine learning.
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Rasa Technologies Inc
  • Rasa team has Top notch AI knowledge
  • Greate customer support, by listening towards the clients needs.
  • And building future proof solutions around client Business Requirements within dazzling timeframes
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Cons
Oracle
  • Our clients have reported that upon integration with Siri for voice commands, the results are pretty obvious (basic) Nd the conversation is unnatural.
  • The languages it supports are very limited.
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Rasa Technologies Inc
  • No-code apps could be improved
  • Online docs can be messy
  • Steep learning curve
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Usability
Oracle
No answers on this topic
Rasa Technologies Inc
With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.
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Support Rating
Oracle
No answers on this topic
Rasa Technologies Inc
Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented
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Alternatives Considered
Oracle
I selected Oracle Digital Assistant against all other digital assistant platforms as this platform works like a charm with any Oracle application. It integrates well with Oracle Integration Cloud. The new beta version has an inbuilt conversation builder which can be used to build conversation without the YAML code.
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Rasa Technologies Inc
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Return on Investment
Oracle
  • We've had a good integration with our existing databases and applications.
  • Our customers are crypto traders and we've had more engagement with them, which means a lot to us.
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Rasa Technologies Inc
  • Cost Savings & Efficiency
  • Increased Conversion Rates
  • Improved Customer Satisfaction
  • Operational ROI
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ScreenShots

Rasa Screenshots

Screenshot of the Studio interface, where a new Flow can be tried out. The user can trace the flow of conversation through the AI Assistant to test and debug new developments.Screenshot of the extensible generative conversational AI framework in a no-code user interface, which enables business users to drag and drop dialogue components for easier AI assistant development.Screenshot of central content management to curate the AI Assistant training data. Users can repurpose and reuse assistant data: search, add, edit, and update assistant data directly in Studio.Screenshot of where analysts, testers, and builders can review user conversations to optimize the AI assistant performance and improve the user experience. Filter and tag key conversations for review, and share within a team for increased collaboration and efficiency.Screenshot of the fully transparent conversational AI enables deep customization and explainability enabling a high-performance architecture.