Gartner Cool Vendor 2025

Autonomous agents for your AI and cloud data spend

Revefi monitors every query, warehouse, model call, and agent action to find and fix waste. Connect in five minutes, with no code changes.

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Snowflake
OpenAI
Databricks
Anthropic Claude
BigQuery
Google Gemini
Amazon Redshift
Vertex AI
Snowflake
OpenAI
Databricks
Anthropic Claude
BigQuery
Google Gemini
Amazon Redshift
Vertex AI
Revefi
FinOps
FinOps
Observability
Observability
Quality
Quality
Spend Optimization
Spend Opt.
Performance Tuning
Perf. Tuning
Governance
Governance
FinOps
FinOps
Observability
Observability
Quality
Quality
Spend Optimization
Spend Opt.
Performance Tuning
Perf. Tuning
Governance
Governance

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FinOps, Observability and Optimization for your AI and Data

For LLMs and AI Agents

AI FinOps and Observability

Gain end-to-end cost visibility, performance monitoring, and governance for every model request, agent action, and multi-step agentic AI workflow across providers, models, agents, and users without changing a single line of code.

Explore AI FinOps →
For Snowflake, Databricks, and BigQuery

Your autonomous AI Database Administrator

Revefi AI DBA deploys a fleet of platform-native agents that continuously manage FinOps, observability, quality, performance, and governance across your cloud data estate.

Explore AI DBA →

From connected to optimized in four steps

Connect

Link your data platforms, AI providers and model endpoints. Read only, metadata only, no agents to install.

Monitor

Every query, warehouse, job, LLM call, agent step, token event and cost signal, tracked continuously.

Analyze

Cost, performance, quality and usage correlated in one view across platforms, providers, teams and time.

Optimize

Apply ranked recommendations with one click, or let the agents rightsize, tune and enforce policies on their own.

Six agents on every platform

Each platform gets its own team of six domain experts. Same six on Snowflake, Databricks and BigQuery.

FinOps

FinOps

Cost allocation, chargeback and budget alerts across every platform.

Observability

Observability

Pipeline health, anomalies and real time monitoring, with root cause attached.

Quality

Quality

Schema drift, freshness, row counts and referential integrity, checked continuously.

Spend Optimization

Spend Optimization

Rightsizing, auto suspend, idle cluster termination and reservation guidance.

Performance Tuning

Performance Tuning

Query rewrites, execution plans, partitioning and clustering, applied for you.

Governance

Governance

RBAC and IAM enforcement, data masking, audit trails and policy checks.

Built for the people who own the bill and the people who own the pipeline

By data platform

Native to the platforms you already run.

Snowflake
Databricks
Google BigQuery
AWS Redshift

By role

One view, tuned to what each person needs to see.

DBA
Data Engineer
Head of Data Platforms
Data Scientists
CDOs and CDAOs

By industry

Patterns and governance for regulated and high volume estates.

Insurance
Financial Services
Healthcare
Retail
Telecom
Tech Enterprises
Case Study

A Fortune 500 Insurer using Snowflake

Snowflake warehouses, 711
Snowflake Warehouses
50% spend reduced
Spend Reduction
Results in under 48 hours
Results in < 48 hours

"With Revefi, the value of FinOps and Data Observability became clear within just a few months. They identified savings, improved quality and more than paid for themselves in no time."

Louis DiModugno
Louis DiModugno
Global CDO
Fortune 1000 Company
Read Case Study
5 Minutes
Average time to first insight.
30-70%
Reduction in Snowflake and cloud data costs.
665K+ Automated Monitors
Overall automated observability without overheads.
100%
Projected annual ROI.
27%
Less Snowflake spend
5×
Beyond the 5–6% expected
3 Weeks
To deliver, start to finish
Expected vs. Actual Savings
30
20
10
0
5-6%
Expected Savings
27%
Actual Savings
~$1M
Saved during the free trial
25%
Of production covered so far
>$3M
Projected across all production
Savings Unlocked
$3M
$2M
$1M
$0M
$1.0M
Free Trial (25% env)
$3.0M
Projected savings
100% Unified
All Data-SLAs and RCA
3x Increased
Interoperability between systems & tools
4 Platforms
In one interface: BigQuery, Looker, Composer & Gemini
Revefi connected to BigQuery, Looker, Composer and Gemini
8x
Increase in AI spend in less than 4 months
25K+
Users and increasing
200M+
Requests monthly and increasing
10K+
AI services and increasing
How Revefi Works
1
Automated Monitoring
AI usage, spend and governance
2
Automated Alerting
Anomaly detection, cost spikes and usage drift
4
Actions
Apply and save with one-click optimization
3
Recommendations
Spend optimization, budgeting and governance rules
Annual AI spend, nine figures
Annual AI Spend
Seven figures in savings identified
Savings Identified
Results in three weeks
3 weeks

How does Revefi compare?

Revefi is the only solution that unifies AI Observability, FinOps, DataOps, Performance Optimization, Data Quality and Data Observability.

Capability
1. Agentic AI
2. FinOps and Data Cost Optimization
3. Performance Optimization
4. Usage Observability
5. Data Observability and Quality
6. DataOps
7. AI FinOps
8. AI Observability
9. Configuration
10. Autonomous Remediation
11. ROI
12. Setup Time
13. Time to Value
14. Scale

15. Self-Tuning

16. Self-Driving

Revefi
Autonomous
Automated
Automated
Automated
Automated
Automated
Yes
Yes
Automated
Yes
Greater than 100%
5 minutes
Hours or Days
Enterprise grade

Yes

Yes

Others
On-premises or Managed SaaS
Basic spend alerting only
Incident detection only
No
⚠️
Manual
No
-
⚠️
Limited
Manual
No
⚠️
Limited
⚠️
Weeks-Months
2 weeks or Months
Limited to small environment

No

No

Note:
All the information mentioned in the table above are taken from publicly available sources, social media channels, and other 2nd / 3rd party content syndication platforms. Revefi makes no such claims whatsoever.