Unravel

Palo Alto, CA, USA
2013
  |  By Stephen Lamont
Snowflake data engineers are under enormous pressure to deliver results. This data sheet provides more context about the challenges data engineers face and how Unravel helps them address these challenges. Specifically, it discusses: With Unravel, Snowflake data engineers can speed data pipeline development and analytics initiatives with granular and real-time cost visibility, predictive, predictive spend forecasting, and performance insights for their data cloud.
  |  By Clinton Ford
Organizations are transforming their industries through the power of data analytics and AI. A recent McKinsey survey finds that 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” AI enables businesses to launch innovative new products, gain insights into their business, and boost profitability through technologies that help them outperform competitors.
  |  By Eric Chu
Snowflake’s data cloud has expanded to become a top choice among organizations looking to leverage data and AI—including large language models (LLMs) and other types of generative AI—to deliver innovative new products to end users and customers. However, the democratization of AI often leads to inefficient usage that results in a cost explosion and decreases the business value of Snowflake. The inefficient usage of Snowflake can occur at various levels.
  |  By Clinton Ford
Hey there! Have you ever found yourself scratching your head over unpredictable cloud data costs? It’s no secret that accurately forecasting cloud data spend can be a real headache. Fluctuating costs make it challenging to plan and allocate resources effectively, leaving businesses vulnerable to budget overruns and financial challenges. But don’t worry, we’ve got you covered!
  |  By Stephen Lamont
The data landscape is constantly evolving, and with it come new challenges and opportunities for data teams. While generative AI and large language models (LLMs) seem to be all everyone is talking about, they are just the latest manifestation of a trend that has been evolving over the past several years: organizations tapping into petabyte-scale data volumes and running increasingly massive data pipelines to deliver ever more data analytics projects and AI/ML models.
  |  By Eric Chu
Google recently introduced significant changes to its existing BigQuery pricing models, affecting both compute and storage. They announced the end of sale for flat-rate and flex slots for all BigQuery customers not currently in a contract. Google announced an increase to the price of on-demand analysis by 25% across all regions, starting on July 5, 2023.
  |  By Clinton Ford
Data is a powerful force that can generate business value with immense potential for businesses and organizations across industries. Leveraging data and analytics has become a critical factor for successful digital transformation that can accelerate revenue growth and AI innovation.
  |  By Unravel Data
New Functionality Delivers FinOps, AI-driven Cloud Cost Management and Performance Optimization for BigQuery Users.
  |  By Stephen Lamont
With the dramatic increase in the volume, velocity, and variety of data analytics projects, understanding costs and optimizing expenditure is crucial for success. Data teams often face challenges in effectively managing costs, accurately attributing them, and finding ways to enhance cost efficiency.
  |  By Stephen Lamont
DBS Bank leverages Unravel to identify inefficiencies across 10,000s of data applications/pipelines and guide individual developers and engineers on how, where, and what to improve—no matter what technology or platform they’re using.
  |  By Unravel
GenAI and analytics are increasing demands on data teams. They need new ways to accurately forecast data cloud spend, improve efficiency, and increase automation. Organizations are increasingly turning to purpose-built AI to enable data observability and FinOps that dramatically accelerates time to launch new data products, increases spend predictability, and minimizes cloud waste.
  |  By Unravel
In 2023, cloud service usage was supercharged to enable the creation and scaling of new products and services, to gain faster business insight, and to leverage the emergence of new technologies such as Gen AI. However, with cloud spending expected to increase by 20.4% in 2024, how are YOU ensuring inefficient code and underutilized cloud resources are not contributing to your overall costs?
  |  By Unravel
See what’s new for Snowflake and how you can take advantage of the latest innovation from Unravel to better manage your data cloud costs. Data analytics and AI enables organizations to transform their industries with innovative new products, faster business insights, and break-away technologies that help them outperform competitors.
  |  By Unravel
Transforming analytics on the cloud: Supercharge your data applications with Databricks, AWS and Unravel Organizations are feeling pressure to launch new data applications faster to meet end-user demand. Cloud data platforms help accelerate launch times with on-demand delivery of infrastructure and pay-as-you-go pricing. Last year, 98% of the overall database management system (DBMS) market growth came from cloud database platform as a service (dbPaaS). 80% of organizations have adopted agile practices to increase their pace of innovation.
  |  By Unravel
Organizations want to get faster value from AI/ML. In order to do that, they need to go through a data lifecycle -- from data ingestion, curation and refinement, to production data pipeline development and deployment, and then model creation and model deployment. With this in mind, Unravel is hosting a live event to help you quickly go from start to finish. This is your opportunity to learn how you can leverage Unravel’s purpose-built AI to accelerate your full data lifecycle.
  |  By Unravel
Harness the Unravel's Insights feature to pinpoint the most influential insights for enhancing and streamlining your operational processes.
  |  By Unravel
The Top K Page feature points out the most costly projects, users, and jobs by analyzing GCP Billing Data. With this tool, you can easily identify the highest-spending elements in your environment, providing valuable insights for effective cost management and resource allocation.
  |  By Unravel
This Alerting feature empowers you to closely monitor your BigQuery tasks and promptly receive notifications. Unravel enables you to set up alerts that trigger based on metric consumption from your BigQuery jobs.
  |  By Unravel
The Cost 360 feature within Unravel Data empowers you to effectively manage your expenses in BigQuery. This feature provides you with a comprehensive analysis of your costs, offering insights into cost breakdowns, chargebacks, and trends. By leveraging this information, you can enhance your cost management strategies and optimize your resource utilization.
  |  By Unravel
FinOps Camp Episode 3: Considerations for Mapping your FinOps Adventure Program elements, use cases, and principles to manage cloud data costs Join SanjMo Principal and Founder Sanjeev Mohan and Unravel VP of Solutions Engineering Chris Santiago as we share considerations for mapping your FinOps Adventure.Creating a solid FinOps strategy is crucial to navigating the rapidly-evolving world of cloud services.
  |  By Unravel
Learn more about AI-powered data operations for modern data applications.
  |  By Unravel
Learn how to simplify Big Data Operations with Application Performance Management.
  |  By Unravel
Learn how Unravel complements Cloudera Manager.
  |  By Unravel
Learn a best practice approach to managing performance and utilization.
  |  By Unravel
Get the visibility you need at each stage of your machine learning application development lifecyle.
  |  By Unravel
Learn how to ensure that streaming data analytics perform reliably.
  |  By Unravel
Application Performance Management isn't a new discipline, but it is a new best practice for Big Data. APM for big data has become a must-have for running big data in production in order to manage performance and utilization of big data applications and platforms.

Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business.

The Unravel Data Operations Platform helps ops engineers, app developers, and enterprise architects reduce the complexity of delivering reliable application performance – providing unified visibility and operational intelligence to optimize your entire ecosystem.

Deliver on the promise of data:

  • Uncover: Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end.
  • Understand: Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not.
  • Unravel: Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare for what’s next – wherever it’s deployed.

Simplify Data Operations for Modern Data Clouds.