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By Stephen Lamont
Unravel Data is the DataOps observability platform for the modern data stack. Unravel provides AI-powered recommendations for performance, cost governance, and quality so data teams spend less time firefighting and more time innovating. Let’s see how it works.
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By Unravel Data
Modern data analytics platforms like Databricks have become indispensable for many companies. However Databricks costs can become unpredictable. This article gives four steps to help companies like yours predict Databricks costs and save your company time and money.
Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.
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By Kunal Agarwal
Data is the driving force of the world’s modern economies, but data teams are struggling to meet demand to support generative AI (GenAI), including rapid data volume growth and the increasing complexity of data pipelines. More than 88% of software engineers, data scientists, and SQL analysts surveyed say they are turning to AI for more effective bug-fixing and troubleshooting. And 84% of engineers who use AI said it frees up their time to focus on high-value activities.
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By Unravel Data
Privacy and security are top priorities for Unravel and our customers. At Unravel, we help organizations better understand and improve the performance, quality, and cost efficiency of their data and AI pipelines. As a data business, we appreciate the scope and implications of privacy and security threats. This data sheet provides details to help information security (InfoSec) teams make informed decisions. Specifically, it includes: For additional details, please reach out to our security experts.
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By Clinton Ford
Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been named in the 2024 Gartner Market Guide for Data Observability Tools. According to Gartner, “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024.
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By Marissa Mendez
In the data-driven world where real-time decision-making and innovation are not just goals but necessities, global data analytics and technology companies like Equifax must navigate a complex environment to achieve success. Equifax sets the standard for operational excellence by enabling real-time decision-making, accelerating innovation, scaling efficiently, consistently achieving service level agreements (SLAs), and building reliable data pipelines.
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By Unravel Data
Download a sample report that includes insights into the health of a Snowflake data estate.
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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.
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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.
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By Unravel
Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.
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By Unravel
Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.
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By Unravel
80% of data management professionals surveyed cited difficulty accurately forecasting data-related cloud costs (Forrester). Why? They lack granular visibility to allocate costs, the information they need is in silos, and they don’t have AI or automation to forecast spending. With this in mind, Unravel introduces the new FinOps AI Agent. Learn how this new AI agent enables teams to go beyond observing overall spend to taking immediate action with purpose-built AI and automation.
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By Unravel
65% of data and analytics leaders reported that data observability would be a core element of their data strategy within two years (Gartner). Why? Rising demand for GenAI increases the pressure on data teams to deploy reliable pipelines that provide diverse and reliable data. With this in mind, Unravel is hosting a live event to introduce new AI agents for FinOps, DataOps, and Data Engineering. Learn how these new AI agents enable teams to go beyond just observing problems to take immediate action with purpose-built AI and automation.
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By Unravel
88% of Databricks users surveyed are turning to AI to improve bug-fixing effectiveness (Databricks). Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel is hosting this live event to demonstrate how AI-enabled observability for Databricks’ Data Intelligence Platform helps you proactively achieve performance and reliability.
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By Unravel
40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.
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By Unravel
80% of data teams are facing challenges related to availability of tooling. Why? Modern data engineering is difficult and testing data engineering solutions is generally an ad-hoc, manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive. With this in mind, Unravel is hosting a live event to demonstrate how enhanced visibility and data-driven observability help you streamline your workflow, accelerate your data pipelines on the Databricks Data Intelligence Platform.
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By Unravel
Today, 65% of IT decision-makers believe their company is falling behind the competition in using data and analytics. Why? Organizations want real-time insights, fraud/anomaly detection, trend analysis, and systems monitoring. The good news – data teams that use DataOps practices and tools will be 10 times more productive.With this in mind, Unravel is hosting a live event to share new capabilities to help you achieve productivity, performance, and cost efficiency with Databricks’ Data Intelligence Platform.
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By Unravel
Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with Snowflake. Watch this 15 minute live event about optimizing performance with data observability with Clinton Ford, VP of Product Marketing at Unravel and Eric Chu, VP of Product at Unravel.
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By Unravel
Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to share a new IDC Analyst Brief about the role of data observability and optimization to enable AI-driven innovation and share how you can leverage Unravel to achieve productivity, performance, and cost efficiency for Snowflake.
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By Unravel
Get the visibility you need at each stage of your machine learning application development lifecyle.
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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.
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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.