Amazon Bedrock vs. H2O.ai

Amazon Bedrock

H2O.ai

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Amazon Bedrock	Score 9.1 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 6.4 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
Considered Both Products	Amazon Bedrock No answer on this topic	H2O.ai Verified User Anonymous Chose H2O.ai I have used Knime, RapidMiner, and Weka before I heard about H2O, but amongst all I really liked H2O. However, nowadays Googles AutoML and AWS SageMaker AutoML platform are really competitive, but more costly than H2O. Incentivized Helpful? VM Viktor Mulac Senior Consultant Chose 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 … Incentivized Helpful? Verified User Anonymous Chose H2O.ai H2O provided all the needed features such as Linear Modeling, Targeted Learning, Predictive Analytics including GLM, Trees, Neural networks and ensemble with ease. We are also able to pick and choose what we want without deploying all the bulky tools unlike others. Able to … Incentivized Helpful?

Best Alternatives
	Amazon Bedrock	H2O.ai
Small Businesses	InterSystems IRIS Score 7.7 out of 10	No answers on this topic
Medium-sized Companies	InterSystems IRIS Score 7.7 out of 10	No answers on this topic
Enterprises	InterSystems IRIS Score 7.7 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	10.0 (0 ratings)	8.1 (0 ratings)
Usability	10.0 (0 ratings)	- (0 ratings)
Support Rating	- (0 ratings)	9.0 (0 ratings)

User Testimonials
	Amazon Bedrock	H2O.ai
Likelihood to Recommend	No answers on this topic	Use H2O.ai whenever you need easy to use tool, when you must be cost efficient (you can not charge the client extra money for software licenses used), need a tool with lots of algorithms that are normally used in data analytics, or need to work on one machine (it is either not allowed to move data to cloud storage or simply not necessary to connect to Hadoop, etc.). Also, you can call H2O directly from Python which makes analysis more efficient. Incentivized VM Viktor Mulac Senior Consultant Read full review
Pros	No answers on this topic	AutoML Bigdata support with H2O's Sparkling Water Incentivized Verified User Anonymous Read full review
Cons	No answers on this topic	No weaknesses found yet This is not really a drawback, but rather a warning - the Drivereless AI is not a replacement for a data scientist yet, and will not replace data scientists in the next decade neither. The Driverless AI feature delivers reliable results only if the analyst is sure about the meaning of input data. The data quality is usually a major issue and no tool can detect the meaning of data in the input. Data scientists are also required for business interpretation of the findings. So be careful, and do not rely on this feature without a good understanding of what it really does in each step. Incentivized VM Viktor Mulac Senior Consultant Read full review
Support Rating	No answers on this topic	The overall experience I have with H2O is really awesome, even with its cost effectiveness. Incentivized Verified User Anonymous Read full review
Alternatives Considered	No answers on this topic	I have used Knime, RapidMiner, and Weka before I heard about H2O, but amongst all I really liked H2O. However, nowadays Googles AutoML and AWS SageMaker AutoML platform are really competitive, but more costly than H2O. Incentivized Verified User Anonymous Read full review
Return on Investment	No answers on this topic	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