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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    H2O.ai

    Score6.4 out of 10
    N/AAn 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

    PostgreSQL

    Score8.8 out of 10
    N/APostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
    Pricing
    H2O.aiPostgreSQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    H2O.aiPostgreSQL
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    H2O.aiPostgreSQL
    Considered Both Products
    H2O.ai
    No answer on this topic
    PostgreSQL Global Development Group
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    32 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    25 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    31 Answers
    Best Alternatives
    H2O.aiPostgreSQL
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    MySQL
    Score8.4 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    H2O.aiPostgreSQL
    Likelihood to Recommend
    8.1
    (3 ratings)
    8.3
    (56 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    8.3
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    7.0
    (1 ratings)
    Support Rating
    9.0
    (1 ratings)
    9.3
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    H2O.aiPostgreSQL
    Likelihood to Recommend
    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
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    PostgreSQL Global Development Group
    PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
    Incentivized
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    Pros
    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
    Read full review
    PostgreSQL Global Development Group
    • It works well with external data sources and runs on platforms with stable performance.
    • Clients can rest assured that their personal information will be safe and secure.
    • Many forums discuss setup and usage, and most are free.
    • Adding tooling applications to a computer is unlimited.
    • PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.
    Read full review
    Cons
    H2O.ai
    • Better documentation
    • Improve the Visual presentations including charting etc
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    • Clearer indications on what is the query plan, to optimize the query
    • More out of the box, Postgres specific, SQL functions
    • It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used
    Incentivized
    Read full review
    Likelihood to Renew
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    As a needed software for day to day development activities
    Incentivized
    Read full review
    Usability
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
    Incentivized
    Read full review
    Reliability and Availability
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
    Incentivized
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    Performance
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
    Incentivized
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    Support Rating
    H2O.ai
    The overall experience I have with H2O is really awesome, even with its cost effectiveness.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
    But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
    Incentivized
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    Online Training
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
    Incentivized
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    Implementation Rating
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    The online documentation of the PostgreSQL product is elaborate and takes users step by step.
    Incentivized
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    Alternatives Considered
    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
    Read full review
    PostgreSQL Global Development Group
    Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
    Incentivized
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    Scalability
    H2O.ai
    No answers on this topic
    PostgreSQL Global Development Group
    The DB is reliable, scalable, easy to use and resolves most DB needs
    Incentivized
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    Return on Investment
    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
    Read full review
    PostgreSQL Global Development Group
    • Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
    • Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
    • It's free. You can't beat that.
    Incentivized
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    ScreenShots