Meet Unravel AI Agents Virtual Event July 25

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MEET YOUR NEW DATABRICKS EXPERT

Faster apps, lower cost, less troubleshooting through automation

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** DO NOT REMOVE Hidden Margin Required **
** DO NOT REMOVE Hidden Margin Required **
DATA ACTIONABILITY PLATFORM

Intelligent data optimization

  • Works with your existing observability telemetry, including system tables.
  • Correlates your metadata to provide insights using Unravel’s proven AI.
  • Actionable insights and automation within your existing apps and tools. Learn more.
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** DO NOT REMOVE Hidden Margin Required **

Enterprise leaders choose Unravel

Customer Stories
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** DO NOT REMOVE Hidden Margin Required **

Automation, the way you want

For you

Unravel takes action on your behalf to reduce toil and deflect tickets.

With you

Unravel integrates with your tools to automate your process.

By you

Unravel recommends actions you can take to achieve your desired outcomes.

For you

Unravel takes action on your behalf to reduce toil and deflect tickets.

With you

Unravel integrates with your tools to automate your process.

By you

Unravel recommends actions you can take to achieve your desired outcomes.

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** DO NOT REMOVE Hidden Margin Required **
Cloud Cost Management & FinOps

Auto-Save. Auto-Govern.
Auto-Awesome.

 

  • Optimize workspaces, jobs, queries and tables automatically.
  • Chargeback / showback with business context such as by project or business unit.
  • Create and track budgets at the granularity you want.
  • Automatically surface ways to reduce cost.
  • Insights and recommendations that teams can learn from.
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"We cut costs by 70% in the first 6 months."

HEAD OF DATA PLATFORM OPTIMIZATION
Global Logistics Company
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Operations & Troubleshooting

99% less firefighting.
100% more brilliance.

 

  • Automate SRE workflows. Issue root-cause, ticket creation, and remediation.  
  • Create auto-actions for repeated issues, so Unravel can act on your behalf. 
  • Automatically connect the dots, and troubleshoot issues.
  • Integrate seamlessly with your messaging and issue tracking tool.
  • Customize dashboard and reports for your needs. 
  • Track progress, create leaderboards and design incentives to promote a healthy shared platform.
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** DO NOT REMOVE Hidden Margin Required **
Pipeline & App Optimization

Maximize Productivity.
Minimize Boredom.

 

  • Automate code reviews. Get recommendations to fix code. 
  • Improve performance by optimizing code, configurations, data layout and more.
  • Get the root cause of failures and slow-downs automatically. 
  • Integrate with any messaging system, code repos, devops tools to supercharge your workflow.
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** DO NOT REMOVE Hidden Margin Required **

Real AI. Real results.

“Unravel cut our cloud data costs by 70% in six months—and keep them down.”

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“Equifax receives over 12 million online inquiries per day. Unravel has accelerated data product innovation and delivery.”

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“Unravel helped us improve the platform resiliency and availability multiple fold.”

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Browse All Customer Stories
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** DO NOT REMOVE Hidden Margin Required **

CLOUD COST MANAGEMENT & FINOPS SELF-GUIDED TOURS

Visualize, optimize and control your cloud data costs

Enhanced Chargeback / Showback

Assign cost with business context. Track overages. Get AI-driven cost-saving recommendations.

Self-Guided Tour

Cloud Cost Optimization

Quickly reduce spending at the cluster level with AI-driven cost-saving recommendations.

Self-Guided Tour

Automated Budget Tracking

Track budgets vs. actual spending at a granular level and optimize costs with AI-driven recommendations.

Self-Guided Tour

AutoActions and Alerts

Create guardrails and keep budgets on track with automated oversight and real-time notifications.

Self-Guided Tour

Budget Forecasting

Accurately forecast cloud data spending with a data-driven view of consumption trends.

Self-Guided Tour

Enhanced Chargeback / Showback

Assign cost with business context. Track overages. Get AI-driven cost-saving recommendations.

Self-Guided Tour

Cloud Cost Optimization

Quickly reduce spending at the cluster level with AI-driven cost-saving recommendations.

Self-Guided Tour

Automated Budget Tracking

Track budgets vs. actual spending at a granular level and optimize costs with AI-driven recommendations.

Self-Guided Tour

AutoActions and Alerts

Create guardrails and keep budgets on track with automated oversight and real-time notifications.

Self-Guided Tour

Budget Forecasting

Accurately forecast cloud data spending with a data-driven view of consumption trends.

Self-Guided Tour
** DO NOT REMOVE Hidden Margin Required **
** DO NOT REMOVE Hidden Margin Required **

OPERATIONS & TROUBLESHOOTING SELF-GUIDED TOURS

Reduce MTTR from hours (even days) to minutes

Automated Cloud Cost Optimization

Quickly reduce spending at the cluster level with AI-driven cost-saving recommendations.

Self-Guided Tour

AutoActions and Alerts

Automate operations by creating policies, alerts and actions.

Self-Guided Tour

Advanced and Extensible Reporting

Identify 1,000s of optimization opportunities.

Self-Guided Tour

Automated Cloud Cost Optimization

Quickly reduce spending at the cluster level with AI-driven cost-saving recommendations.

Self-Guided Tour

AutoActions and Alerts

Automate operations by creating policies, alerts and actions.

Self-Guided Tour

Advanced and Extensible Reporting

Identify 1,000s of optimization opportunities.

Self-Guided Tour
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** DO NOT REMOVE Hidden Margin Required **

PIPELINE & APP OPTIMIZATION SELF-GUIDED TOURS

Optimize apps faster, easier at scale

Speed, Cost, Reliability Optimizer

Quickly tune application performance and/or reduce costs with AI recommendations.

Self-Guided Tour

Automated Pipeline Bottleneck Analysis

Quickly pinpoint where pipelines have bottlenecks and why they're missing SLAs.

Self-Guided Tour

Code-Level Insights

Quickly pinpoint exactly where, and why, application code is inefficient or failing in one easy-to-read view.

Self-Guided Tour

Machine Learning App Monitoring

Keep your machine learning apps running smoothly using Unravel's AI-enabled observability.

Self-Guided Tour

Speed, Cost, Reliability Optimizer

Quickly tune application performance and/or reduce costs with AI recommendations.

Self-Guided Tour

Automated Pipeline Bottleneck Analysis

Quickly pinpoint where pipelines have bottlenecks and why they're missing SLAs.

Self-Guided Tour

Code-Level Insights

Quickly pinpoint exactly where, and why, application code is inefficient or failing in one easy-to-read view.

Self-Guided Tour

Machine Learning App Monitoring

Keep your machine learning apps running smoothly using Unravel's AI-enabled observability.

Self-Guided Tour
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AI-POWERED DATA OBSERVABILITY & FINOPS

Accelerate lakehouse performance and efficiency.

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** DO NOT REMOVE Hidden Margin Required **
** DO NOT REMOVE Hidden Margin Required **

Commonly asked questions

Are cloud compute and storage costs included in Databricks Units (DBUs)?

No. Databricks Units (DBUs) are reference units of Databricks Lakehouse Platform capacity used to price and compare data workloads. DBU consumption depends on the underlying compute resources and the data volume processed. Cloud resources such as compute instances and cloud storage are priced separately. Databricks pricing is available for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). You can estimate costs online for Databricks on AWS, Azure Databricks, and Databricks on Google Cloud, then add estimated cloud compute and storage costs with the AWS Pricing Calculator, the Azure pricing calculator, and the Google Cloud pricing calculator.

 

Learn more about FinOps for data teams

Where can I see cloud compute and storage costs associated with my Databricks clusters?

Cost 360 for Databricks provides trends and chargeback by app, user, department, project, business unit, queue, cluster, or instance. You can see a cost breakdown for Databricks clusters in real time, including related services such as DBUs and VMs for each configured Databricks account on the Databricks Cost Chargeback details tab. In addition, you get a holistic view of your cluster, including resource utilization, chargeback, and instance health, with automated AI-based cluster cost-saving recommendations and suggestions.

 

Learn more about cloud cost management & FinOps

How can I improve my Databricks performance?

Databricks offers general tips and settings for certain scenarios, for example, auto optimize to compact small files. Unravel provides recommendations, efficiency insights, and tuning suggestions on the Applications page and the Jobs tab. With a single Unravel instance, you can monitor all your clusters, across all instances, and workspaces in Databricks to ​​speed up your applications, improve your resource utilization, and identify and resolve application problems.

 

Learn more about AI-enabled optimization

Can I use Unravel's CI/CD integration for Databricks with any programming language?

Yes. Unravel’s CI/CD integration for Databricks is language-agnostic. It seamlessly integrates with popular programming languages such as SQL, Python, Scala, and Java.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Is Unravel compatible with both Azure DevOps and GitHub?

Yes. Unravel’s CI/CD integration for Databricks supports both Azure DevOps and GitHub. You have the flexibility to choose the platform that best suits your team’s needs.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Does Unravel provide detailed metrics and insights for my Databricks pipelines?

Yes. With Unravel’s CI/CD integration for Databricks, you gain access to comprehensive metrics and AI-powered insights about your pipelines’ performance. You can identify and quickly resolve bottlenecks, improve resource efficiency, optimize code, and make data-driven decisions.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Can I customize the PR review process with Unravel's CI/CD integration?

Yes. Unravel allows you to tailor the PR review process according to your specific requirements. You can define custom rules, set thresholds for performance metrics, and establish guidelines to ensure code quality.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Does Unravel's CI/CD integration for Databricks support automated testing?

Yes. Unravel’s CI/CD integration for Databricks seamlessly integrates with popular automated testing frameworks. You can incorporate unit tests, integration tests, and regression tests into your pipeline to ensure the reliability of your code.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Does Overwatch provide real-time reporting on my Databricks resource usage?

Real-time monitoring and alerting with Databricks Overwatch requires a time-series database. Databricks refreshes your billable usage data about every 24 hours and AWS Cost and Usage Reports are updated once a day in comma-separated value (CSV) format. Since Cost Explorer includes usage and costs of other services, you should tag your Databricks resources and you may consider creating custom tags to get granular reporting on your Databricks cluster resource usage. Unravel simplifies this process with Cost 360 for Databricks to provide full cost observability, budgeting, forecasting, and optimization in near real time. Cost 360 includes granular details about the user, team, data workload, usage type, data job, data application, compute, and resources consumed to execute each data application. In addition, Cost 360 provides insights and recommendations to optimize clusters and jobs as well as estimated cost improvements to prioritize workload optimization.

 

Learn more about cloud cost management & FinOps

What should be the granularity of the FinOps data?

At the FinOps Crawl phase, the data will be less granular. You may start at the cloud provider and service level. In the Walk phase, you’ll want additional granularity to go into the application level. If FinOps data is only available at the cluster or infrastructure level, you may face challenges with allocation. In the Run phase, you may need to get to the user, project, and job level.

 

Learn more about cost governance

How can I ensure high-quality data in my data lake?

Data teams spend most of their time preparing data—data aggregation, cleansing, deduplication, synchronizing and standardizing data, ensuring data quality, timeliness, and accuracy, etc.—rather than actually delivering insights from analytics. Everybody needs to be working off a “single source of truth” to break down silos, enable collaboration, eliminate finger-pointing, and empower more self-service. Although the goal is to prevent data quality issues, assessing and improving data quality typically begins with monitoring and observability, detecting anomalies, and analyzing root causes of those anomalies.

 

Learn more about flexible data quality

Does Databricks provide insights to help me tune my clusters?

Databricks collects monitoring and operational data in the form of logs, metrics, and events for your Databricks job flows. Databricks metrics can be used to detect basic conditions such as idle clusters and nodes or clusters that run out of storage. Troubleshooting slow clusters and failed jobs involves a number of steps such as gathering data and digging into log files. Data application performance tuning, root cause analysis, usage forecasting, and data quality checks require additional tools and data sources. Unravel accelerates the troubleshooting process by creating a data model using metadata from your applications, clusters, resources, users, and configuration settings, then applying predictive analytics and machine learning to provide recommendations and automatically tune your Databricks clusters.

 

Learn more about automated troubleshooting

Do I need to set up VPC peering for Databricks on AWS?

Virtual Private Cloud (VPC) peering enables you to create a network connection between Databricks clusters and your AWS resources, even across regions, enabling you to route traffic between them using private IP addresses. For example, if you are running both an Unravel EC2 instance and a Databricks cluster in the us-east-1 region but configured with different VPC and subnet, there is no network access between the Unravel EC2 instance and Databricks cluster by default. To enable network access, you can set up VPC peering to connect Databricks to your EC2 Unravel instance.

 

Learn more about cloud migration

How does Unravel help when migrating to Databricks?

Unravel provides granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop and data migration to Databricks.

Get granular chargeback and cost optimization for your Databricks workloads. Unravel for Databricks is a complete data observability platform to help you tune, troubleshoot, cost-optimize, and ensure data quality on Databricks. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of big data pipelines and applications.

 

Learn more about cloud migration

We have many legacy applications from big data platforms, which were lifted and shifted to Databricks clusters. How do you think organizations should manage skyrocketing costs due to over-provisioning and under-utilization?

Many enterprises are facing this exact situation, experiencing performance and cost issues migrating on-premises workloads to Databricks. On-prem workloads are naturally limited in terms of cost due to the physical constraints of their data center, but costs can suddenly grow on the cloud. Enterprises who have successfully migrated to Databricks start by optimizing jobs before moving them to the cloud to ensure they can predict the spend and performance.

 

Learn more about cloud migration

How can I improve my Azure Databricks performance?

Azure Databricks offers optimization suggestions and troubleshooting tips for certain scenarios, for example, auto optimize to compact small files. Unravel provides recommendations, efficiency insights, and tuning suggestions on the Applications page and the Jobs tab. With a single Unravel instance, you can monitor all your clusters, across all instances, and workspaces in Azure Databricks to ​​speed up your applications, improve your resource utilization, and identify and resolve application problems.

 

Learn more about AI-enabled optimization

Does Azure Databricks provide insights to help me tune my clusters?

Azure Databricks collects monitoring and operational data in the form of logs, metrics, and monitoring for your Azure Databricks job flows. Azure Databricks metrics can be used to detect basic conditions such as idle clusters and nodes or clusters that run out of storage. Troubleshooting slow clusters and failed jobs involves a number of steps such as gathering data and digging into log files. Data application performance tuning, root cause analysis, usage forecasting, and data quality checks require additional tools and data sources. Unravel accelerates the troubleshooting process by creating a data model using metadata from your applications, clusters, resources, users, and configuration settings, then applying predictive analytics and machine learning to provide recommendations and automatically tune your Azure Databricks clusters.

 

Learn more about automated troubleshooting

How are Unravel AI Agents different from Lakehouse IQ that offers "copilot" experience?

The main difference between many code generation products currently available is that they are typically based on static code analysis, while Unravel’s AI Insights Engine uses dynamic code analysis–meaning that its review of code and SQL is based on more than just the code itself, but also the data layout, table structure, partitioning, and other metadata. Unravel also analyzes your code’s runtime performance and efficiency to enhance recommendations.

 

Learn more about Unravel’s CI/CD Integration for Databricks

Is the separate Azure billing data required for Azure Databricks?

No, it is not mandatory, but very useful if possible. Azure bill integration unlocks the full potential of Unravel’s cost analysis insights and reports. This integration ensures that the insights and reports obtained are as accurate and comprehensive as possible.

 

Learn more about cloud cost management & FinOps

How can AI be used to enhance fraud detection accuracy without compromising security or enhancing the risk of a data breach?

Unravel enables AI-driven innovation with Databricks such as fraud detection. Unravel is committed to security and focused on keeping our clients and their data safe. Unravel is SOC 2-compliant, and has earned a Service Organization Control (SOC) 2, Type II certification.

 

Learn more about Unravel for Databricks deployment

Can Unravel Orchestrate Databricks Workflows?

Unravel doesn’t orchestrate Databricks Workflows but uses AI to improve performance, productivity and cost efficiency of your Databricks jobs. Unravel’s AI Agents for Databricks provide insights and recommendations for optimizing Databricks jobs. Simply ask questions in plain language to identify areas for improvement and potential cost savings. You can ask specific questions about the insights, recommendations, or performance metrics of your Databricks jobs that run on job compute clusters.

 

Learn more about AI-enabled optimization

Do I need to set up VNET peering for Azure Databricks?

Virtual network (VNET) peering enables you to create a network connection between Azure Databricks clusters and your Azure resources, even across regions, enabling you to route traffic between them using private IP addresses. For example, if you are running both an Unravel VM and Azure Databricks cluster in the East US region but configured with different VNET and subnet, there is no network access between the Unravel VM and Databricks cluster by default. To enable network access, you can set up VNET peering between your Azure Databricks master node and your Unravel VM.

 

Learn more about cloud migration

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** DO NOT REMOVE Hidden Margin Required **
** DO NOT REMOVE Hidden Margin Required **
** DO NOT REMOVE Hidden Margin Required **
ACTIONABILITY FOR DATA TEAMS

Empower your data teams with AI agents.

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