Unravel Data

Unravel Data is an AI-native data observability platform founded in 2013 by Shivnath Babu and Kunal Agarwal, both data infrastructure veterans.

Updated 4 Aug 2026 Reviewed by 7wData

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Autonomous optimization software that reduces cloud data platform costs and improves performance across Snowflake, Databricks, BigQuery, and other data systems.

Unravel Data is an AI-native data observability platform founded in 2013 by Shivnath Babu and Kunal Agarwal, both data infrastructure veterans. The company grew out of research at Duke University into managing large-scale data systems, specifically addressing the operational complexity that emerged as enterprises adopted Hadoop, Spark, and modern cloud data platforms. Unravel has raised $107.9 million across five funding rounds, most recently closing a $50 million Series D in September 2022 led by Third Point Ventures.

The platform serves Fortune 500 enterprises including Mastercard, Equifax, Citi, Novartis, and NXP Semiconductors—companies where data pipeline failures directly impact core business operations. Unravel's core product reduces cloud data platform costs by up to 70 percent while maintaining or improving query performance, according to customer case studies. In May 2026, the company introduced Arvix AI, an agentic optimization system that autonomously analyzes workloads, rewrites inefficient SQL, optimizes infrastructure configurations, and executes changes with automatic rollback safeguards.

The platform integrates across Databricks, Snowflake, Google BigQuery, Amazon EMR, and Cloudera. In June 2025, Unravel launched a free Snowflake native app called Health Check that analyzes 30 days of usage data to identify warehouse rightsizing, query efficiency, and storage optimization opportunities. As of 2024, Unravel had experienced a 25 percent workforce reduction from the prior year, declining to approximately 47 employees, though the company has continued shipping product updates and earning industry recognition, including spots on CRN's 2025 Cloud 100 and Big Data 100 lists. The company's market share within data observability tools has declined to 7.3 percent as of September 2025, down from 11.5 percent the prior year, reflecting intensifying competition from alternatives including Monte Carlo, Pepperdata, Data Mechanics, and others.

Who buys this

Fortune 500 enterprises running Snowflake or Databricks with significant cloud data spend
Financial services and payments firms requiring data pipeline reliability and cost transparency
Pharmaceutical and life-sciences organizations managing complex analytics infrastructure
Logistics and supply-chain companies optimizing real-time data processing costs
Retail and consumer brands consolidating data from multiple cloud platforms

Publicly disclosed clients

Mastercard
Equifax
Citi
Novartis
NXP Semiconductors
Cox Automotive
Adobe

Strengths and what to watch

Strengths

Autonomous code rewriting and infrastructure optimization executed without manual intervention, with automatic rollback safeguards
Proven cost reduction at scale: customers report 60-70% cloud spend savings within six months with maintained or improved performance
Deep technical foundation: co-founders with decade-plus tenure in large-scale data systems; underlying research from Duke University

Watch for

Workforce contracted 25% year-over-year through 2024 (to ~47 employees); balance between product velocity and operational sustainability unclear
Market share erosion: mindshare in data observability declined from 11.5% to 7.3% as of September 2025; competitive pressure from funded alternatives (Monte Carlo, Pepperdata, Acceldata)
No new funding announced since Series D in September 2022 ($50M); growth strategy and runway expectations in competitive market not publicly disclosed

Recent moves

Key Information

Industry: Data Quality & Observability
Founded: 2016

Frequently Asked Questions

What is Unravel Data?

Unravel Data is an AI-native data observability platform founded in 2013 that autonomously optimizes cloud data platform costs and performance. It serves Fortune 500 enterprises using Snowflake, Databricks, BigQuery, and other systems, reducing cloud spend by up to 70 percent while maintaining or improving query performance.

How much can Unravel Data reduce cloud costs?

Unravel Data customers report 60–70 percent cloud spend reductions within six months while maintaining or improving query performance. The platform autonomously optimizes infrastructure, rewrites inefficient SQL, and executes changes with automatic rollback safeguards—reducing costs without requiring manual intervention or sacrificing performance.

What is Arvix AI in Unravel Data?

Arvix AI is Unravel Data's autonomous optimization engine launched in May 2026. It analyzes workloads, rewrites inefficient SQL, optimizes infrastructure configurations, and executes changes automatically with rollback safeguards. Arvix integrates across Databricks, Snowflake, BigQuery, Amazon EMR, and Cloudera without manual intervention.

Which data platforms does Unravel Data support?

Unravel Data integrates with Snowflake, Databricks, Google BigQuery, Amazon EMR, and Cloudera. The platform also offers a free Snowflake native app called Health Check, launched in June 2025, that analyzes 30 days of usage data to identify warehouse rightsizing, query efficiency, and storage optimization opportunities.

What companies use Unravel Data?

Unravel Data serves Fortune 500 enterprises including Mastercard, Equifax, Citi, Novartis, NXP Semiconductors, Cox Automotive, and Adobe. Customers span financial services, pharmaceuticals, retail, supply-chain, and logistics sectors—organizations where data pipeline failures directly impact core business operations and require cost transparency and reliability.

How is Unravel Data positioned in the market?

As of September 2025, Unravel Data holds 7.3 percent market share in data observability, competing with Monte Carlo, Pepperdata, and Data Mechanics. The company raised $107.9 million total, with its most recent Series D of $50 million in September 2022 from Third Point Ventures and other backers.

How Unravel Data compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Positioning: Autonomous optimization software that reduces cloud data platform costs and improves performance across Snowflake, Databricks, BigQuery, and other data systems.
Customer segments: Fortune 500 enterprises running Snowflake or Databricks with significant cloud data spend
Strengths: Autonomous code rewriting and infrastructure optimization executed without manual intervention, with automatic rollback safeguards
Watch for: Workforce contracted 25% year-over-year through 2024 (to ~47 employees); balance between product velocity and operational sustainability unclear
Recent moves: Unravel Data launches Arvix AI autonomous optimization engine for Databricks, Snowflake, and BigQuery

Positioning: Data observability platform for pipeline reliability and AI trust, serving 400 plus enterprises across FinServ, Pharma, and Retail.
Customer segments: Data engineering and platform teams at Fortune 1000 enterprises on Databricks and Snowflake; FinServ and Pharma verticals dominant.
Strengths: First mover in data observability since 2019; broadest out-of-box monitors for freshness, schema drift, and volume anomalies.
Watch for: Pricing scales with data volume, not seats; large-scale deployments commonly cite unexpected cost increases at contract renewal.
Recent moves: Launched Agent Observability for production AI pipelines in September 2025, extending coverage beyond data pipeline monitoring.

Positioning: Data observability and agentic data management platform for enterprises running multi-cloud and hybrid data stacks.
Customer segments: Enterprise data platform and DataOps teams in FinServ, CPG, and healthcare; customers include Dun and Bradstreet and PhonePe.
Strengths: Multi-engine observability spanning pipelines, compute, and storage across Cloudera, Databricks, and Snowflake in one platform.
Watch for: No funding round since February 2023 Series C; agentic platform pivot requires heavy engineering investment with no disclosed new capital.
Recent moves: Launched Agentic Data Management platform in general availability in August 2025, adding autonomous data issue resolution.

Positioning: Real-time dynamic resource optimization for Apache Spark, Kubernetes, and GPU workloads targeting cloud infrastructure cost reduction.
Customer segments: Cloud infrastructure teams at enterprises running Spark-heavy workloads on AWS EMR; customers include Citibank and T-Mobile.
Strengths: Zero-code Spark cluster optimization requiring no application changes; customers report 30 to 47 percent cost reduction on EMR.
Watch for: Total venture funding approximately $20M across all rounds; narrow Spark and Kubernetes focus limits enterprise cross-platform deal breadth.
Recent moves: Launched pepperdata.ai for GPU workload cost optimization in November 2025, targeting AI infrastructure efficiency.

Sources

www.unraveldata.com — Product capabilities, customer names (Adobe, Mastercard, Equifax), platform support for Databricks, Snowflake, BigQuery
www.unraveldata.com — Named customers including Novartis, Mastercard, Citi, Equifax, NXP Semiconductors, Florida Blue; cost savings claims
www.businesswire.com — Series D funding of $50M in September 2022 led by Third Point Ventures; total funding $107M; board appointment of Curtis McKee
techcrunch.com — Series D funding details and platform positioning
siliconangle.com — Arvix AI autonomous optimization engine announcement May 2026; capabilities including code rewriting and automatic rollback
www.unraveldata.com — Founders Shivnath Babu (CTO) and Kunal Agarwal (CEO); mission statement; customer base descriptions; venture backing from Menlo Ventures, GGV Capital, Point72 Ventures