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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure OpenAI Service

    Score8.1 out of 10
    N/AAzure OpenAI Service, a service from Microsoft's Azure suite available in preview, includes pre-generated AI models that enable users to apply advanced coding and language models to a variety of use cases, enabling new reasoning and comprehension capabilities for building applications. Users can apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data.N/A

    MLReef

    Score9.1 out of 10
    Enterprise companies (1,001+ employees)
    MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A
    Pricing
    Azure OpenAI ServiceMLReef
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure OpenAI ServiceMLReef
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details
    More Pricing Information
    Best Alternatives
    Azure OpenAI ServiceMLReef
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    Google Cloud AI
    Score8.7 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    Google Cloud AI
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure OpenAI ServiceMLReef
    Likelihood to Recommend
    8.6
    (4 ratings)
    9.1
    (1 ratings)
    Usability
    8.0
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure OpenAI ServiceMLReef
    Likelihood to Recommend
    Microsoft
    If you're looking for a managed OpenAI API service, then Azure OpenAI Service is a good choice.
    It's fully compatible with OpenAI API, has lots of models to choose from, lots of parameters to configure to suite your needs.
    The documents are well maintained, with examples to get started.
    You can also setup firewall to restrict access to the API to certain IP addresses, like those of your VPCs.
    Incentivized
    Read full review
    MLReef
    Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
    Read full review
    Pros
    Microsoft
    • Generating SQL
    • Generating Images
    • Sensible Response
    Incentivized
    Read full review
    MLReef
    • Helps us to take on more client projects
    • Can be used by data analysts as well as casual users
    Read full review
    Cons
    Microsoft
    • The user interface is similar to the Azure, so it's bit laggy, they should improve it.
    • The chat models sometimes return nothing, I guess they are still testing them.
    • The models we use have quota limitation on tokens and number of requests.
    Incentivized
    Read full review
    MLReef
    • Out of the box support for major cloud vendors
    Read full review
    Usability
    Microsoft
    I think it's a good product and appreciate the addition secure guard rails that running it in Azure provide. However, I still struggle at times to get to the right resources for support and region-based capacity can also be a challenge.
    Incentivized
    Read full review
    MLReef
    No answers on this topic
    Alternatives Considered
    Microsoft
    1. Open AI is best at giving accurate answers. 2. It is secure and more trustworthy 3. Most of our client using Azure cloud so it becomes go to choice for them. 4. Scalable as it handles 1000s of request per minute. 5. SDKs are easy to use and well documented.
    Incentivized
    Read full review
    MLReef
    No answers on this topic
    Return on Investment
    Microsoft
    • Our test group of 100 people created more than 200 conversations within the first day
    • People were excited & asked to be included to the test group once words spread that we have an internal ChatGPT portal
    • People started to create & share their own assistants (prompt engineering) for various purposes like code review, marketing, email, etc.
    Incentivized
    Read full review
    MLReef
    • We can handle 4 to 6 times more projects at the same time with our team
    • We stay engaged with our customers well beyond the project duration
    Read full review
    ScreenShots

    MLReef Screenshots

    Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions