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H2O Driverless AI vs Obviously AI

H2O Driverless AI

h2o.ai

Obviously AI

obviously.ai

Side by side

FigureH2O Driverless AIObviously AI
Price from—Free
Free plan—Yes
Free trialYesYes
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published14
Spec score · Low-Code Machine Learning Platforms Software7.9 (#9)8.1 (#6)
Spec score · Augmented Analytics Software8.0 (#12)8.3 (#5)
Spec score · Predictive Analytics Software7.9 (#15)8.3 (#9)
Spec score · AutoML Software7.8 (#14)8.0 (#10)
DeploymentModels can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices.The product page says instant web apps let users share a dynamic link to use a model in real time.
HeadquartersMountain View, California, United StatesCrunchbase places the company in San Francisco, California.
IntegrationsDocumented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath.The official integrations catalog lists Airtable, Amazon Redshift, Box, Chartio, CSV, Dropbox, Google Analytics, Google BigQuery, Google Drive, HubSpot, JSON, Kaggle, Mode, MongoDB, MySQL, PostgreSQL, Salesforce, Shopify, Snowflake, SQL Server, Tableau, Typeform and Zapier.
What it doesDriverless AI automates feature engineering, model building, visualization, and interpretability.Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming.

Plans

H2O Driverless AI

  • H2O Driverless AIPriced on request

H2O Driverless AI pricing →

Obviously AI

  • FreeFree
  • Enterprise PlanPriced on request
  • SMB PlanPriced on request
  • Startup PlanPriced on request

Obviously AI pricing →

In their own words

H2O Driverless AI

H2O Driverless AI automates machine-learning work from feature engineering and model building through validation, tuning, selection, visualization, interpretability, and scoring-pipeline generation. It explains model output at both global and individual-prediction levels. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs; GPU-accelerated algorithms include XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour cloud test drive. Commercial licensing requires contacting sales; no price is listed. The default installation disables security, so production use calls for secure installation.

Visit h2o.ai

Obviously AI

Obviously AI is a freemium, web-based no-code tool for turning structured data into predictive models. Listed model uses include classification, regression, and time series prediction. Models can be published as instant web apps with shareable dynamic links, or connected through real-time REST APIs that send predictions to tools such as Power BI and Looker. Automatic model monitoring and Zapier if-this-then-that automations are also described. Integrations include Amazon Redshift, Google BigQuery, Google Drive, HubSpot, Shopify, Snowflake, Tableau, and Zapier. A structured dataset is required; the documentation recommends at least 1,000 rows and 5 columns. CSV is the listed import format, with uploads up to 10 MB. The Free plan costs nothing and includes 1,200 predictions, one user seat, unlimited models, 1M rows of training data, CSV-only data, and limits of 10,000 data rows. Obviously AI is based in San Francisco. Security information lists SOC 2 Type II, GDPR data-retention compliance, HIPAA compliance, TLS in transit, and AES-256 at rest.

Visit obviously.ai