H2O.ai vs. Teammately

H2O.ai

H2O.ai

15 Reviews and Ratings

Teammately

Teammately

0 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
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
Teammately	Score 0.0 out of 10	N/A	Teammately is an autonomous AI agent designed for AI engineers to build, evaluate, and refine AI products, models, and agents. It empowers users to define objectives, and then autonomously iterates using LLMs, prompts, RAG, and ML to achieve results beyond human-level manual iteration. Teammately focuses on a scientific approach to AI development, ensuring quality and reliability through AI-driven testing and evaluation.	$25 per month

Pricing

H2O.ai

Teammately

Editions & Modules

No answers on this topic

Plus: $25
per month
Enterprise: Contact Sales

Offerings

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

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

—

Discount available for quarterly (12%) and annual (20%) pricing.

More Pricing Information

Community Pulse
	H2O.ai	Teammately
Considered Both Products	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?	Teammately No answer on this topic

Best Alternatives
	H2O.ai	Teammately
Small Businesses	No answers on this topic	InterSystems IRIS Score 7.7 out of 10
Medium-sized Companies	No answers on this topic	InterSystems IRIS Score 7.7 out of 10
Enterprises	Oracle Digital Assistant Score 7.9 out of 10	InterSystems IRIS Score 7.7 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	H2O.ai	Teammately
Likelihood to Recommend	8.1 (0 ratings)	- (0 ratings)
Support Rating	9.0 (0 ratings)	- (0 ratings)

User Testimonials
	H2O.ai	Teammately
Likelihood to Recommend	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	No answers on this topic
Pros	AutoML Bigdata support with H2O's Sparkling Water Incentivized Verified User Anonymous Read full review	No answers on this topic
Cons	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	No answers on this topic
Support Rating	The overall experience I have with H2O is really awesome, even with its cost effectiveness. Incentivized Verified User Anonymous Read full review	No answers on this topic
Alternatives Considered	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	No answers on this topic
Return on Investment	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	No answers on this topic
ScreenShots