Amazon Bedrock vs. H2O.ai

Amazon Bedrock

H2O.ai

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Amazon Bedrock	Score 8.4 out of 10	N/A	Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.	$0 Price for 1,000 input or $0.0004 for 1000 output tokens
H2O.ai	Score 6.7 out of 10	N/A	An open-source end-to-end GenAI platform for air-gapped, on-premises or cloud VPC deployments. Users can Query and summarize documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. And the commercially available Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data.	N/A

Pricing

Amazon Bedrock

H2O.ai

Editions & Modules

Amazon Titan models- Titan Text – Lite: $0.0003
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light: $0.0003
Price for 1,000 input
Cohere models - Command Light: $0.0006
Price for 1,000 output
Meta model - Llama 2 Chat (13B): $0.00075
Price for 1,000 input
Meta model - Llama 2 Chat (13B): $0.001
Price for 1,000 output
Amazon Titan models- Titan Text – Express: $0.0013
Price for 1,000 input tokens or $0.0017 for 1000 output tokens
Cohere models - Command: $0.0015
Price for 1,000 inputtokens
Anthropic models - Claude Instant: $0.00163
Price for 1,000 input tokens
Cohere models - Command: $0.0020
Price for 1,000 output
Anthropic models - Claude Instant: $0.00551
Price for 1,000 output tokens
Anthropic models - Claude: $0.01102
Price for 1,000 input tokens
AI21 models - Jurassic-2 Mid: $0.0125
Price for 1,000 input or output tokens
AI21 models - Jurassic-2 Ultra: $0.0188
Price for 1,000 input or output tokens
Anthropic models - Claude: $0.03268
Price for 1,000 output tokens
Stability AI Model - SDXL1.0: $49.86
per hour (one month commitment)

No answers on this topic

Offerings

Pricing Offerings
Amazon Bedrock	H2O.ai
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Amazon Bedrock	H2O.ai

Best Alternatives
	Amazon Bedrock	H2O.ai
Small Businesses	InterSystems IRIS Score 7.8 out of 10	No answers on this topic
Medium-sized Companies	InterSystems IRIS Score 7.8 out of 10	No answers on this topic
Enterprises	Dataiku Score 8.2 out of 10	Oracle Digital Assistant Score 7.9 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Amazon Bedrock	H2O.ai
Likelihood to Recommend	- (0 ratings)	8.1 (3 ratings)
Support Rating	- (0 ratings)	9.0 (1 ratings)

User Testimonials
	Amazon Bedrock	H2O.ai
Likelihood to Recommend	Amazon AWS No answers on this topic	H2O.ai Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch. Incentivized Verified User Anonymous Read full review
Pros	Amazon AWS No answers on this topic	H2O.ai Excellent analytical and prediction tool In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model Readily available algorithms, easy to use in your analytical projects Faster than Python scikit learn (in machine learning supervised learning area) It can be accessed (run) from Python, not only JAVA etc. Well documented and suitable for fast training or self studying In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow It can be used as open source Incentivized VM Viktor Mulac Senior Consultant Read full review
Cons	Amazon AWS No answers on this topic	H2O.ai Better documentation Improve the Visual presentations including charting etc Incentivized Verified User Anonymous Read full review
Support Rating	Amazon AWS No answers on this topic	H2O.ai The overall experience I have with H2O is really awesome, even with its cost effectiveness. Incentivized Verified User Anonymous Read full review
Alternatives Considered	Amazon AWS No answers on this topic	H2O.ai Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O. Incentivized VM Viktor Mulac Senior Consultant Read full review
Return on Investment	Amazon AWS No answers on this topic	H2O.ai Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product Incentivized Verified User Anonymous Read full review
ScreenShots