About
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
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About
FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Information Technology, Operations, Security, and Development teams
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Audience
CIOs, CTOs, FinOps, finance, and platform engineering teams looking for a solution to govern AI, cloud, data, and SaaS spend in one layer
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$15.00/host/month
Free - up to five hosts
Pro - $15 per host per month Enterprise - $23 per host per month
Free Version
Free Trial
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Pricing
$1000/month
FinOpsly pricing starts at $1,000/month and is aligned to the value delivered—based on cloud spend, scope, and automation depth. Customers typically offset the full platform cost within 6–9 weeks through tangible savings, automated optimizations, and faster financial operations.
Free Version
Free Trial
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDatadog
Founded: 2010
United States
www.datadoghq.com
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Company InformationFinOpsly
Founded: 2024
United States
finopsly.com
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Alternatives |
Alternatives |
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Categories |
CategoriesFinOpsly helps enterprises actively control cloud and data spend using an agentic, business-aware system of action. Designed for organizations operating across AWS, Azure, and GCP—alongside data platforms like Snowflake and Databricks—FinOpsly connects infrastructure and analytics costs directly to business context such as products, teams, and services. This enables leaders to understand not just what they’re spending, but why, across cloud and data workloads. Instead of static dashboards and alerts, FinOpsly uses explainable AI agents that predict spend, surface cost drivers with clear reasoning, and take policy-governed actions to optimize usage safely. These agents operate under defined guardrails, ensuring automation aligns with performance, reliability, and business priorities. With FinOpsly, organizations can attribute cloud and data costs accurately, detect inefficiencies and spend drift early, enforce financial guardrails and prevent overruns before they impact budgets FinOpsly is a proactive, agentic FinOps system of action for cloud, data, and AI—built to map spend directly to business value and automate control safely. FinOpsly connects cloud, data, and AI costs across AWS, Azure, GCP, Snowflake, and Databricks to products, teams, services, and customers. This allows organizations to understand not just how much they spend, but which investments drive outcomes, unit economics, and business performance. Using explainable AI agents, FinOpsly continuously analyzes cost drivers, provides clear reasoning behind every recommendation, and executes policy-governed actions to optimize spend. Automation operates within defined financial and operational guardrails, ensuring changes are safe, auditable, and aligned with performance and business risk. By combining business-aware cost mapping with explainable, controlled automation, FinOpsly moves FinOps beyond reporting—turning it into a trusted, continuous discipline that delivers measurable value. FinOpsly helps enterprises manage cloud, data, and AI spend as a governed, measurable part of IT financial operations. As organizations scale across AWS, Azure, GCP, and data platforms like Snowflake and Databricks, technology costs become harder to attribute, forecast, and explain. FinOpsly unifies cost, usage, and business context into a single operating model—so finance and IT leaders understand true spend across products, teams, and services. Using explainable, agentic AI, FinOpsly enables teams to plan spend before it happens, monitor financial performance continuously, and take policy-governed action when costs drift. AI agents operate within defined guardrails, ensuring automation aligns with budgets, performance, and business priorities. FinOpsly supports accurate cost attribution, chargeback and showback, and faster financial cycles—turning IT financial management into a proactive, controlled discipline. FinOpsly helps enterprises manage SaaS spend as part of a unified cloud, data, and AI cost model—going beyond license tracking to deliver true financial control. For data platforms like Snowflake and Databricks, where usage-based pricing drives cost, FinOpsly connects consumption, cost, and business context to show which products, teams, and workloads are driving spend. This enables accurate total cost of ownership (TCO) analysis and fair chargeback or showback. Using explainable, agentic AI, FinOpsly analyzes SaaS usage patterns, explains cost drivers in business terms, and executes policy-governed actions to optimize spend safely. Automation operates within defined guardrails, ensuring control without disrupting performance or data workflows. By treating SaaS spend as a core part of TCO and financial accountability, FinOpsly helps organizations prevent overruns and align SaaS investments with business value. |
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Application Performance Monitoring (APM) Features
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Cloud Security Features
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Data Center Management Features
Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance
Database Monitoring Features
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting
DevOps Features
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
IT Infrastructure Monitoring Features
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring
Infrastructure-as-a-Service (IaaS) Features
Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring
Log Management Features
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs
Network Monitoring Features
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
Internet Usage Monitoring
IP Address Monitoring
Real Time Analytics
Resource Management
Server Monitoring
SLA Monitoring
Uptime Monitoring
Web Traffic Reporting
Network Security Features
Access Control
Analytics / Reporting
Compliance Reporting
Firewalls
Internet Usage Monitoring
Intrusion Detection System
Threat Response
VPN
Vulnerability Scanning
Network Troubleshooting Features
Alerts / Escalation
Bandwidth Troubleshooting
Change Management
Configuration Management
Connectivity Management
Data Visualization
Historical Audit
Mobile Network Troubleshooting
Network Analysis
Network Monitoring
SIEM Features
Application Security
Behavioral Analytics
Compliance Reporting
Endpoint Management
File Integrity Monitoring
Forensic Analysis
Log Management
Network Monitoring
Real Time Monitoring
Threat Intelligence
User Activity Monitoring
System Monitoring Features
Alerts / Notifications
Antivirus Management
Data Backup / Recovery
Device Monitoring
Inventory Management
Patch Management
Policy-based Automation
Remote Monitoring
Reporting / Analytics
Risk Analysis
Server Monitoring
Service Configuration Management
Website Monitoring Features
Availability Testing
Event Logs
Event-Based Notifications
FTP Monitoring
Mail Server Monitoring
Maintenance Scheduling
Performance Metrics
Real Time Monitoring
Transaction Monitoring
Uptime Reporting
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Cloud Cost Management Features
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
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Integrations
Amazon Web Services (AWS)
Microsoft Azure
Snowflake
Avalor
Baz
Better Stack
Cortex
Cyclr
Fleece AI
GitHub
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Integrations
Amazon Web Services (AWS)
Microsoft Azure
Snowflake
Avalor
Baz
Better Stack
Cortex
Cyclr
Fleece AI
GitHub
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