TrustRadius: an HG Insights company

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hugging Face

    Score9.9 out of 10
    N/AHugging Face is a git-based platform where teams store, version, and share models, datasets, and demo apps, together with the libraries used to train and fine-tune those models — Transformers, PEFT (Parameter-Efficient Fine-Tuning), TRL (Transformer Reinforcement Learning), Accelerate, and Datasets. Inference Endpoints, a separate production service on the same account, deploys a Hub model onto Hugging Face-managed GPUs and returns a URL.

    $9

    per month

    Weaviate

    Score8 out of 10
    N/AWeaviate is an open-source vector database used to store data objects and vector embeddings from ML-models, and scale into billions of data objects, from the company of the same name in Amsterdam. Users can can index billions of data objects to search through, and combine multiple search techniques, such as keyword-based and vector search, to provide search experiences.

    $0

    Pricing
    Hugging FaceWeaviate
    Editions & Modules
    Pro Account
    $9
    per month
    Enterprise Hub
    $20
    per month per user
    Open Source — Free (self-hosted, BSD-3-Clause)
    $0
    Free Tier
    $0
    Flex
    $45
    per month
    Premium
    $400
    per month
    Enterprise
    Contact Sales
    per month
    Offerings
    Pricing Offerings
    Hugging FaceWeaviate
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsWeaviate Cloud pricing is consumption-based. Add-on services are priced separately: Query Agent (free tier of 1,000 requests/month; $30/organization includes 4,000 requests, then usage-based) and Weaviate Embeddings (usage-based per token). Engram, Weaviate's agent-memory service, is a separate product with its own free and paid tiers.
    More Pricing Information
    Community Pulse
    Hugging FaceWeaviate
    Considered Both Products
    Hugging Face
    No answer on this topic
    Weaviate
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    6 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    6 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    6 Answers
    No answers on this topic
    Best Alternatives
    Hugging FaceWeaviate
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    Astra DB, now part of IBM watsonx.data
    Score8.8 out of 10
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    Astra DB, now part of IBM watsonx.data
    Score8.8 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Hugging FaceWeaviate
    Likelihood to Recommend
    9.4
    (6 ratings)
    -
    (0 ratings)
    User Testimonials
    Hugging FaceWeaviate
    Likelihood to Recommend
    Hugging Face
    If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face
    Incentivized
    Read full review
    Weaviate
    No answers on this topic
    Pros
    Hugging Face
    • Model APIs
    • Hugging Face Spaces for deploying demo apps
    • Latest updated models available easily
    • Vast support for language parsing and other relevant tasks
    Incentivized
    Read full review
    Weaviate
    No answers on this topic
    Cons
    Hugging Face
    • Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
    • It’s good to have some visualization tool in hugging face for viewing model architecture.
    • I recommend to implement hugging face lite version so that it can run on any system with less specifications.
    Incentivized
    Read full review
    Weaviate
    No answers on this topic
    Alternatives Considered
    Hugging Face
    There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.
    Incentivized
    Read full review
    Weaviate
    No answers on this topic
    Return on Investment
    Hugging Face
    • Hugging Face is cost and time saving.
    • Pay is less, you pay what you use, doesn't affect much.
    • Overall positive impact on business.
    Incentivized
    Read full review
    Weaviate
    No answers on this topic
    ScreenShots

    Hugging Face Screenshots

    Product screenshot