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Microsoft Bot Framework vs Voiceflow

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Voiceflow

9.0#1 in chatbot buildersFrom $972 a year
Free planAndroidiOSWebAPI
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What both publish

FactMicrosoft Bot FrameworkVoiceflow
ChannelsBots can connect to channels such as Microsoft Teams, Facebook, and Slack, using Azure AI Bot Service channels or channel adapters.Agents can be deployed through web chat, mobile interfaces, telephony, SMS and custom interfaces using the Conversations API.
Deployment channelsmultichannelmultichannel
DocumentationMicrosoft Learn organizes Bot Service documentation around building, testing, deploying and managing chatbots, with language-specific developer options.Documentation includes quickstarts, API reference, deployment guides, widgets, telephony, SMS, testing, analytics and billing material.
Human handoffYesYes
Knowledge-base answersYesYes
LicenseThe Bot Framework SDK repository is distributed under the MIT License.Voiceflow, Inc.'s terms grant a revocable, nonexclusive service license and restrict copying and reverse engineering, indicating the hosted product is proprietary.
Praise: G2 reviewersG2 reviewers repeatedly praise quick setup, ease of use, flexible programming languages, integrated LUIS and QnA Maker tooling, and support for multiple messaging channels.Reviewers repeatedly praise the visual builder, rapid prototyping, integrations, model choice and API flexibility.
Rating on G24.0 out of 5 from 16 reviews4.5 out of 5 from 115 reviews.
Rating on TrustRadius8.7 out of 10 from 92 reviews10 out of 10 from 2 reviews.

Microsoft Bot Framework plans

  • FreeFree
  • S1—

Voiceflow plans

  • StarterFree
  • Agencies & PartnersFree
  • Pro$120 a month
  • Business$500 a month
  • Pro$972 a year
  • EnterprisePriced on request

Pick Microsoft Bot Framework if…

The framework may suit developers building bots for multiple channels who need tools for conversation flows, knowledge-based answers, and human handoff. It is less suitable for new development if ongoing SDK maintenance is required.

Pick Voiceflow if…

Voiceflow is presented for CX and support leaders, engineers, enterprise teams, and agencies or partners building agents for clients. It may suit teams that need agents across voice and chat channels, integrations, and evaluation tools.

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