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About

Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.

About

StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Large enterprises, data science teams, and IT leaders looking to build, deploy, and կառավար AI systems at scale with strong governance, security, and infrastructure control

Audience

Engineering, finance, and FinOps teams that need to forecast, budget, monitor, and act on cloud and AI spending across their technology stack

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Per user/per year
Free Version Not Supported
Free Trial Supported

Pricing

$23 per month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Domino Data Science has the following pros: - Great Customer service. - Flexibility with notebooks and the ability to define your environment as per your needs. - Collaboration is very much easy with this software. - Launches Quickly and easily scalable of Kubernetes infrastructure.

Cons

  • The only cons that I found with this software were that the datasets are not accessible outside the platform. Other than that, this works fine for me.

Pros & Cons from Real Users

Pros

  • Super simple to use, aggregates across 9 of our cloud providers and helps us track $40k of monthly spend. Its paid for its self 50x over by helping us catch spend anomalies caused by engineering mistakes. I'd highly recommend for anyone running a SaaS engineering team.

Cons

  • Would like more features around forecasting to help with our cloud budgeting

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Domino Data Lab
Founded: 2013
United States
www.dominodatalab.com

Company Information

StackSpend
United States
www.stackspend.app/

Alternatives

Alternatives

Categories

Agentic AI Supported
AI Cost Management Supported
AI Data Analytics Supported
AI Development Supported
AI Governance Supported
AI Infrastructure Supported
Data Management Supported
Data Science Supported
Deep Learning Supported
Machine Learning Supported

Categories

AI Cost Management Supported

Data Science Features

Access Control Supported
Advanced Modeling Supported
Audit Logs Supported
Data Discovery Supported
Data Ingestion Supported
Data Preparation Supported
Data Visualization Supported
Model Deployment Supported
Reports Supported

Deep Learning Features

Convolutional Neural Networks Supported
Document Classification Supported
Image Segmentation Supported
ML Algorithm Library Supported
Model Training Supported
Neural Network Modeling Supported
Self-Learning Supported
Visualization Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Not Supported

Integrations

GitHub Supported
Jira Supported
Snowflake Supported
Amazon EC2 Trn2 Instances Supported
Amazon SageMaker Supported
Anaconda Supported
Apache Zeppelin Supported
ClickHouse Not Supported
Elastic Cloud Not Supported
Flask Supported
GitLab Supported
Grok Not Supported
NVIDIA EGX Platform Supported
NVIDIA HPC SDK Supported
NVIDIA RAPIDS Supported
PyCharm Supported
PyTorch Supported
R Supported
Slack Not Supported
python-sql Supported

Integrations

GitHub Supported
Jira Supported
Snowflake Supported
Amazon EC2 Trn2 Instances Not Supported
Amazon SageMaker Not Supported
Anaconda Not Supported
Apache Zeppelin Not Supported
ClickHouse Supported
Elastic Cloud Supported
Flask Not Supported
GitLab Not Supported
Grok Supported
NVIDIA EGX Platform Not Supported
NVIDIA HPC SDK Not Supported
NVIDIA RAPIDS Not Supported
PyCharm Not Supported
PyTorch Not Supported
R Not Supported
Slack Supported
python-sql Not Supported
Claim Domino Enterprise AI Platform and update features and information
Claim Domino Enterprise AI Platform and update features and information
Claim StackSpend and update features and information
Claim StackSpend and update features and information