Trusted by data teams at Fortune 500 enterprises
——— Who it's for

Your seat. Your win.

Pick the role that sounds like yours.

Introducing

Not an advisor.
An operator.

01 · Pre-trained deep intelligence

Starts from answers, not questions.

Arvix has analyzed 1B+ workloads across 100+ enterprises: queries, pipelines, code, compute, storage. It knows what breaks at your scale before day one. Your LLM starts from zero every time.

LLMs & DIY builds
Generic training, zero prior context. Starts from scratch.
The difference between a tool that learns and one that already knows.
training corpus · 1B+ workloads · 100+ enterprises
ARVIX pre-trained
1B+
workloads
100+
enterprises
3
platforms
day 1
ready
context graph · continuous · autonomous
ARVIX graph queries jobs costs datasets teams clusters pipelines
Databricks·Snowflake·BigQuery
02 · Context graph

Sees the whole system. Not just the symptom.

Every query, pipeline, cluster, dataset, team, and downstream dependency mapped as one connected system. The real cause of a cost spike or SLA miss is rarely where it surfaces. Arvix traces every signal to its source.

Single-purpose tools
FinOps tools miss data platforms. Warehouse tuners miss code. No single tool sees all three — until now.
One connected view. Every layer. Every platform.
03 · Validation loop + watchdog

Proves every fix. Catches every side effect.

Every action is tested against real execution before it touches production: query rewrites, compute resizes, config changes. After it's applied, a continuous watchdog monitors downstream behavior. If anything shifts unexpectedly, Arvix reverts automatically.

LLMs & FinOps tools
Advice with no proof. Validation and rollback are still your problem.
No black boxes. No silent failures. No surprises.
signal → diagnose → watchdog
Signal detected
cost spike · SLA breach
Diagnose + validate
modeled vs real behavior
Watchdog
monitors post-apply
auto revert if anything shifts unexpectedly
spend over time · % of baseline
100% 60% Jan Mar May Jul Sep Nov
Arvix · holds the win
Point-in-time tuner · drifts back
04 · Continuous optimization

Optimization that doesn't expire.

Schemas change. Code drifts. New teams spin up workloads. Arvix re-evaluates and reapplies continuously as your environment evolves. The savings from January don't quietly disappear by March.

Point-in-time tuners
Right once. Nobody's watching when your environment moves on.
Set it running. Let it keep running.
Introducing Arvix AI

Not an advisor.
An operator.

01 · Pre-trained deep intelligence

Starts from answers, not questions.

Arvix has analyzed 1B+ workloads across 100+ enterprises: queries, pipelines, code, compute, storage. It knows what breaks at your scale before day one. Your LLM starts from zero every time.

LLMs & DIY builds
Generic training, zero prior context. Starts from scratch.
The difference between a tool that learns and one that already knows.
training corpus · 1B+ workloads · 100+ enterprises
ARVIX pre-trained
1B+
workloads
100+
enterprises
3
platforms
day 1
ready
context graph · continuous · autonomous
ARVIX graph queries jobs costs datasets teams clusters pipelines
Databricks·Snowflake·BigQuery
02 · Context graph

Sees the whole system. Not just the symptom.

Every query, pipeline, cluster, dataset, team, and downstream dependency mapped as one connected system. The real cause of a cost spike or SLA miss is rarely where it surfaces. Arvix traces every signal to its source.

Single-purpose tools
FinOps tools miss data platforms. Warehouse tuners miss code. No single tool sees all three — until now.
One connected view. Every layer. Every platform.
03 · Validation loop + watchdog

Proves every fix. Catches every side effect.

Every action is tested against real execution before it touches production: query rewrites, compute resizes, config changes. After it's applied, a continuous watchdog monitors downstream behavior. If anything shifts unexpectedly, Arvix reverts automatically.

LLMs & FinOps tools
Advice with no proof. Validation and rollback are still your problem.
No black boxes. No silent failures. No surprises.
signal → diagnose → watchdog
Signal detected
cost spike · SLA breach
Diagnose + validate
modeled vs real behavior
Watchdog
monitors post-apply
auto revert if anything shifts unexpectedly
spend over time · % of baseline
100% 60% Jan Mar May Jul Sep Nov
Arvix · holds the win
Point-in-time tuner · drifts back
04 · Continuous optimization

Optimization that doesn't expire.

Schemas change. Code drifts. New teams spin up workloads. Arvix re-evaluates and reapplies continuously as your environment evolves. The savings from January don't quietly disappear by March.

Point-in-time tuners
Right once. Nobody's watching when your environment moves on.
Set it running. Let it keep running.
Arvix in Action

Same problem. Two very different outcomes.

A pipeline is spiking cost and missing its SLA. Here's what happens with and without Arvix.

——— Built for data & AI platforms, not bolted onto it

The difference is the depth we go to.

Most tools stop at the warehouse. Unravel operates at the query, pipeline, cluster, and data level — across cost and performance simultaneously.

Up to 60%
cost reduction
4x
faster pipelines
3
‍platforms, one control plane

System tables tell you what happened. Query History shows you when. Neither tells you why Tuesday's job costs 3× more and takes twice as long — let alone fixes it.

Optimization depth
  • Query rewrite
  • Cluster config
  • Shuffle fix
  • Delta compaction
Key capability
  • Autoscaling correction
  • Job-level root cause
Databricks Optimization

Warehouse rightsizing only scratches the surface. The real waste is in the queries and workload patterns beneath it.

Optimization depth
  • Query rewrite
  • Warehouse sizing
  • Workload scheduling
  • Storage tiering
Key capability
  • Autonomous query rewrite
  • Credit allocation
Snowflake Optimization

BigQuery's pricing model makes runaway costs invisible until the bill arrives. Unravel surfaces them in real time — and fixes them.

Optimization depth
  • Query rewrite
  • Slot config
  • Partition pruning
  • Anomaly detection
Key capability
  • On-demand → flat-rate migration + anomaly detection
BigQuery Optimization
——— How we're different

You probably already have tools. Here's where they stop.

Every category solves part of the problem. Unravel is the only one that closes the loop.

——— FAQ

Commonly asked questions about our data observability platform

What is data platform optimization and why do modern data teams need data platform optimization tools?

Data platform optimization gives you complete visibility into how your data pipelines and systems are performing across your entire data stack. Modern data teams need data platform optimization tools because tracking data reliability, pipeline performance, and cost optimization manually is nearly impossible with today's complex, distributed environments. A solid data platform optimization solution helps teams catch problems before they hurt business operations, optimize how resources get used, and make sure reliable data reaches decision-makers when they need it.

What is FinOps?

FinOps is often referred to as cloud cost management or cloud optimization and is defined by the FinOps Foundation as "an evolving cloud financial management discipline and cultural practice that enables organizations to get maximum business value by helping engineering, finance, technology, and business teams to collaborate on data-driven spending decisions." Instead of just cutting costs, FinOps helps organizations optimize cloud investments for maximum business value while keeping performance and innovation strong. FinOps is a new approach for data teams to achieve cloud cost efficiency with granular visibility, AI-powered recommendations, and automated guardrails.

What is a data platform optimization solution and how does it work?

A data platform optimization solution monitors, analyzes, and optimizes data systems across your complete technology stack. Unlike basic monitoring tools, a modern data platform optimization solution gives you end-to-end visibility from when data comes in through processing and final use. It works by gathering telemetry data, metrics, and metadata from every part of your data infrastructure, then uses AI and machine learning to spot patterns, catch problems, and give you actionable insights for better performance and cost management.

Learn more about our data platform optimization solution.

Which data platforms and cloud services work with Unravel?

Unravel's data platform optimization software works across hybrid and multi-cloud environments with complete support for major platforms including Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and other modern data stack systems. Our data platform optimization software covers AWS, Google Cloud, Azure, and on-premises deployments comprehensively, making it one of the most flexible data platform optimization solutions for enterprises with diverse technology stacks.

Is Unravel for Data Platform Optimization suitable for organizations with hybrid data environments?

Unravel for Data Platform Optimization works across hybrid and multi-cloud environments with full support for major platforms including Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and other modern data stack systems. The platform covers AWS, Google Cloud, Azure, and on-premises deployments completely, making it an excellent data platform optimization solution for organizations with complex, distributed data architectures.

What makes Unravel one of the leading data platform optimization companies in the market?

Unravel's data platform optimization tools work perfectly for data-driven enterprises looking to improve data performance, speed up data-driven insights, and optimize cloud spending. Our data platform optimization software is built for organizations that depend on analytics from complex data pipelines handling massive amounts of data across modern, intricate data stacks. What separates us from other data platform optimization companies is our AI-native approach that goes beyond monitoring to provide actionable automation and optimization.

What are the top capabilities of Unravel for Data Platform Optimization?

Unravel for Data Platform Optimization offers hundreds of powerful capabilities that help data teams troubleshoot issues, optimize performance, migrate workloads, and control costs. Our data platform optimization tools provide comprehensive monitoring, automated root cause analysis, intelligent cost optimization, and proactive issue prevention. Ready to see what our data platform optimization solutions can do?

Here's how you can get started:

• Get a Free Health Check Report
• Explore our Self-Guided Interactive Tours
• Book a Personalized 30-Minute Live Demo

How do Unravel Agents enhance data platform optimization solutions?

Unravel Agents are AI-powered components that extend traditional data platform optimization tools by taking automated actions for your team. The FinOps Agent handles cost optimization and governance within the data platform optimization solution, delivering up to 50% more workloads for the same budget. The DataOps Agent cuts firefighting time by 99% through automated troubleshooting built into our data platform optimization software. The Data Engineering Agent automates performance optimization, code reviews, and debugging, making Unravel a real AI teammate for your data engineering teams.

Learn more about our AI for Data Platform Optimization.

What makes Unravel superior to other data platform optimization tools?

Unravel brings years of experience developing a comprehensive knowledge graph alongside AI and ML techniques for cost and performance optimization. Our data platform optimization AI agents analyze a complete stack of host metrics and telemetry data including query metadata, compute details (warehouses, clusters), storage metadata, and network metadata to find root causes of inefficiencies and recommend actionable improvements. Unlike other data platform optimization tools, Unravel's proven expertise shows in its success with numerous Fortune 500 companies across different industries, delivering measurable results that distinguish us from other data platform optimization companies.

Learn more about our AI for Data Platform Optimization.

How does Unravel's data platform optimization software differ from competitors?

Unravel stands out among data platform optimization options by excelling in all three FinOps stages: inform, optimize, and operate. Beyond just providing cost information at the account or project levels like other data platform optimization tools, our platform integrates app-level usage data to offer detailed chargeback and trend analysis at the workspace, cluster, and user levels. For optimization, our data platform optimization software uses AI to find root causes across queries, compute, and storage, delivering specific recommendations for query rewrites and configuration adjustments that guarantee actionable and effective cost savings.

Learn more about our AI for Data Platform Optimization.

What kind of cost savings can organizations expect from implementing Unravel?

Organizations using Unravel typically see significant cost reductions. Our customers report cutting cloud data costs by up to 70% within six months while maintaining or improving performance. The FinOps Agent within our data platform optimization software can automatically find optimization opportunities, implements governance policies, and provides detailed chargeback and showback tracking to keep costs under control. These results show why investing in the right data platform optimization tools delivers measurable ROI.

Learn more about Unravel for Cloud Cost Management & FinOps.

How does a data platform optimization solution like Unravel improve data team productivity?

Unravel gets rid of the manual work that slows down data teams. Our data platform optimization software automates performance optimization, handles routine debugging tasks, and provides intelligent code reviews. This means data engineers spend less time on repetitive troubleshooting and more time building valuable data products. Teams report dramatically reduced time spent firefighting issues and faster resolution of data pipeline problems, showing how effective data platform optimization tools can transform team efficiency.

Learn more about Unravel for Data Pipeline and App Optimization.

How can Unravel's data platform optimization solutions be deployed?

Unravel offers flexible deployment options to meet your organization's requirements and security preferences. You can deploy our data platform optimization software as a fully managed SaaS solution for rapid implementation, through cloud marketplace for streamlined procurement and billing, or as an on-premises deployment within your own VPC for maximum control and data residency requirements. This flexibility makes Unravel's data platform optimization solutions adaptable to any enterprise architecture or compliance framework.

How long does it take to implement Unravel?

Implementation time for Unravel varies by deployment method and your organization's security review process. SaaS deployments can be up and running in minutes to hours once security approvals are in place, providing the fastest time to value for our data platform optimization tools. On-premises or VPC deployments generally require 1-2 weeks, though your infosec process may extend the overall timeline, for complete implementation, plus additional time for security reviews and compliance validation depending on your organization's requirements. Most organizations begin seeing insights and value from our data platform optimization software within the first few days after completing their internal approval processes.

How does Unravel's data platform optimization software ensure security and compliance?

Unravel focuses on keeping our clients and their data safe. Our platform manages customer data based on the five SOC trust services criteria: security, availability, processing integrity, confidentiality, and privacy. We use TLS encryption, the same standard used by secure websites, to secure data in transit. Unravel's data platform optimization software is SOC 2-compliant and has earned a Service Organization Control (SOC) 2, Type II certification, ensuring enterprise-grade security standards that data platform optimization companies must meet.

Visit our Trust Center to learn how Unravel protects your data, including security, compliance, and privacy documentation.