Unravel Platform: Data Observability and FinOps Software
Unravel helps data teams manage the cost and performance of cloud data platforms. It is designed for organizations using Databricks, Snowflake, or BigQuery that may need to reduce manual tuning work.
At a glance
- Category
- Data & Analytics
- Best for
- Enterprise data teams, Mid-market companies with cloud data estates, Data Engineering leads, FinOps practitioners
- Pricing
- Unravel is free to get started. Paid options are based on monthly consumption of Databricks DBUs, Snowflake warehouses, or BigQuery slots.
- Key use cases
- Cloud Cost Reduction, Pipeline Performance Tuning, Data Platform Troubleshooting, Cloud Data Migration
- Integrations
- Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, Cloudera
- Official website
- www.unraveldata.com
Unravel is a data observability and FinOps platform designed for teams managing multi-cloud data environments. It monitors data systems to identify bottlenecks and inefficiencies across the technology stack.
The platform supports environments including Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and Cloudera. It is designed for data engineering and operations teams in mid-market and enterprise settings.
Unravel uses AI to suggest or implement fixes, such as rewriting Spark jobs or tuning BigQuery slots. This may help teams maintain SLAs and manage cloud spending without requiring deep manual expertise for every optimization.
Buyers should confirm their deployment needs, as the tool offers SaaS, cloud marketplace, and on-premises options. Because pricing is based on consumption metrics, organizations should evaluate their current usage of DBUs, warehouses, or slots to estimate costs.
Key Features
Supports rewriting inefficient Spark jobs, optimizing Snowflake queries, and tuning BigQuery slots.
Analyzes host metrics, telemetry, and metadata to identify causes of data pipeline inefficiencies.
Provides chargeback and trend analysis at the workspace, cluster, and user levels.
Supports data systems across AWS, Google Cloud, Azure, and on-premises environments.
A knowledge model that maps signals across workloads, stages, and tasks to connect performance to costs.
Available as a managed SaaS solution, via cloud marketplaces, or as an on-premises deployment within a VPC.
Use Cases
Identifying overspending in Databricks, Snowflake, or BigQuery through rightsizing and idle resource detection.
Improving the speed of ETL pipelines by rewriting Spark logic and adjusting shuffle and partition strategies.
Using AI agents to diagnose and fix data pipeline incidents to reduce manual firefighting.
Supporting the migration of Spark or Hadoop workloads to Databricks with optimization recommendations.
Best For
Integrations
Pricing
Unravel is free to get started. Paid options are based on monthly consumption of Databricks DBUs, Snowflake warehouses, or BigQuery slots.
FAQ
Unravel monitors and optimizes data systems across hybrid and multi-cloud environments, using AI to help rewrite code and tune configurations to improve performance and reduce costs.
It supports Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and Cloudera across AWS, Azure, and Google Cloud.
It is free to get started, with paid plans based on the monthly consumption of Databricks DBUs, Snowflake warehouses, or BigQuery slots.
Yes, it can be deployed as a managed SaaS, through a cloud marketplace, or as an on-premises installation within a customer VPC.
Source category: Data & Analytics
Source subcategory: Observability Platform
Software Type:
How AI is used
Unravel is an AI-native data observability and FinOps platform. It supports the optimization of workloads in Databricks, Snowflake, and BigQuery to help reduce cloud spend and improve pipeline performance. Pricing is based on the consumption metrics of the user's cloud data platform.
Pros & Cons
- Supports multiple major data platforms including Databricks, Snowflake, and BigQuery
- Provides automation for fixes rather than only alerts
- SOC 2 Type II certified
- Offers a free health check report to identify savings opportunities
- Targeted at enterprise and mid-market levels, which may be complex for very small businesses
- Pricing is based on varied consumption metrics, which may require a demo for a precise quote
- On-premises or VPC deployment may take 1-2 weeks to implement
