Unravel Data
Facilitating Advanced DataOps for Efficient Cloud Migrations

Unravel Data Named Representative Vendor in Gartner® Market Guide for DataOps Tools

Friday, February 24, 2023

PALO ALTO, Calif - Unravel Data announced today that it was recognized as a Representative Vendor in the DataOps Market in the 2022 Gartner Market Guide for DataOps Tools.

“In recent years, organizations have witnessed significant increases in the number of data sources and data consumers as they deploy more applications and use cases. DataOps has risen as a set of best practices and technologies to streamline and efficiently handle this onslaught of new upcoming workloads,” said Sanjeev Mohan, principal with SanjMo. “Just as DevOps helped streamline web application development and make software teams more productive, DataOps aims to do the same thing for data applications.”

According to a Gartner strategic planning assumption from this Market Guide, “by 2025, a data engineering team guided by DataOps practices and tools will be 10 times more productive than teams that do not use DataOps.” In this Market Guide for DataOps Tools, Gartner examines the DataOps market and explains the various capabilities of DataOps tools, paints a picture of the DataOps tool landscape, and offers recommendations.

“Data teams are struggling to keep up with the increased volume, velocity, variety, and complexity of their data applications and data pipelines. These teams are facing many of the same generic challenges that software teams did 10-plus years ago,” said Kunal Agarwal, CEO of Unravel Data. “We’re proud to be recognized by Gartner in the DataOps Market. Unravel Data provides unprecedented visibility across users’ data stacks, proactively troubleshooting and optimizing data workloads, and defining guardrails to govern costs and improve predictability.”

Today’s modern data stack is a complex collection of different systems, platforms, technologies, and environments. Enterprises need a DataOps solution that works with every type of workload and addresses the performance, cost, and quality issues facing data teams today. Founded by data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data was created on the notion that the exponential growth of data combined with the broad adoption of the public cloud requires an entirely new way to manage and optimize the data pipelines that support the real-time analytics needs of data-driven enterprises.

Customers who have deployed the Unravel platform have been able to double the productivity of data teams and ensure that data applications run on time, while scaling costs efficiently in the cloud. To learn more about how Unravel is leading the DataOps observability space, visit the new library of demonstration videos.

*Gartner, “Market Guide for DataOps Tools”, December 5, 2022.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Unravel Data Named 2023 SIIA CODiE Award Finalist in Best Data Tool

Monday, June 05, 2023

PALO ALTO, Calif: Unravel Data, the first data observability platform built to meet the needs of modern data teams, today announces that the Unravel Data Observability Platform was named a 2023 SIIA CODiE Award Finalist in the Best Data Tool category. CODiE finalists represent the best products, services, and people in the education and business technology industries.

The SIIA CODiE Awards, the long-running, premier awards program for the software and information industries, are produced by the Software & Information Industry Association (SIIA), the principal trade association for the software, education, media, and digital content industries. The Unravel Data Observability Platform was selected as a finalist across dozens of business technology and education technology categories, among hundreds of nominations.

“It is an understatement to say that we are thrilled to be recognized by SIIA CODiE as a finalist,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “The CODiE Awards are one of—if not the—most coveted awards in the industry, and it speaks to the power of the Unravel Platform. Cloud costs, if they aren’t already, are becoming a company’s single biggest and fastest growing IT budget expense. This moves data observability from being a nice-to-have to a must-have. Unravel offers the only platform that provides data teams with AI-powered answers and precise recommendations, making it easier for teams to work together, make smarter decisions, and ultimately optimize cloud data spend.”

Unravel enables data teams to optimize the cost of their data operations intelligently, run faster data pipelines, and troubleshoot mission-critical applications. Instead of just showing an overwhelming set of KPIs that often require domain expertise to discern, Unravel correlates and analyzes a full stack of telemetry metadata to provide easy-to-understand insights, actionable recommendations, and automation to optimize both performance and cost.

Designed for modern data stacks and supporting all major cloud and on-premises platforms, Unravel enables full-stack visibility, AI insights, and automation for modern data applications. It is uniquely suited to remove the blindspots in enterprise data pipelines and provide a single-pane-of-glass view to manage single, multi-, or hybrid-cloud environments. And as more enterprises tackle the challenge of ensuring reliable data results while taming unpredictable costs, the Unravel Platform does the heavy lifting.

“The 2023 CODiE Award finalists highlight the products and people who are out in front, leading their industries forward,” said SIIA President Chris Mohr. “These honorees continue the proud tradition of CODiE Award finalists of recognizing the most impactful products, services, and leaders of their time, setting a foundation for the next generation of innovators. Congratulations to all who received this well-earned acknowledgment.”

The SIIA CODiE Awards are the industry's only peer-recognized awards program. Finalists are determined by industry experts. CODiE Award winners will be announced during the Virtual Celebrations June 21-22, 2023 at 1pm EST.

Unravel Data Launches Cloud Data Cost Optimization for Snowflake

Friday, November 17, 2023

Latest Release Delivers FinOps for Snowflake with AI-Driven Cost Efficiency Recommendations for Infrastructure, Configuration, and Code

PALO ALTO - Unravel Data, announced the release of Unravel for Snowflake. By employing AI that is purpose-built for managing the Snowflake technology stack, cloud data cost management is put into the hands of Snowflake customers by providing them with granular insights into specific cost drivers, as well as AI-driven cost and performance recommendations for optimizing SQL queries and data applications. Unravel for Snowflake is the latest data observability and FinOps product from Unravel Data, adding to the portfolio of purpose-built AI solutions that include Databricks, EMR, Cloudera, and BigQuery.

In the contemporary business landscape, companies are increasingly turning to AI as a means to gain a competitive edge. This surge in AI adoption has led to a significant upsurge in data utilization, workloads, diverse use cases, pipelines, and the utilization of generative AI/LLM models. Consequently, organizations are grappling with amplified challenges related to disrupted pipelines and inefficient data processing, resulting in delayed time-to-business value and escalating costs associated with cloud data usage. Unfortunately, many companies lack the necessary insights into their cloud expenditure on data or effective methods to streamline data pipelines/workloads for cost reduction, accelerated innovation, and problem mitigation.

Unravel has designed specialized AI tailored for Snowflake, leveraging its extensive observability capabilities to offer AI-powered recommendations for cost optimization at a detailed level. These insights focus on warehouses and SQL, encompassing aspects like warehouse provisioning, runtime efficiencies, auto-scaling enhancements, and more. Through Unravel, users of Snowflake can access real-time cost breakdowns concerning queries, users, departments, and warehouses. Additionally, they can establish personalized dashboards, alerts, and safeguards to facilitate precise and detailed cost allocation, visualize trends, and forecast future expenditures.

“As companies double down on AI efforts, we can expect to see more wasted data cloud spend. Costs are incurred not only with infrastructure but with consumption, as most AI pipelines are created in ways that drive up unnecessary cloud data costs,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “Data engineering and architecture teams need an early warning system to alert them to out-of-control spending, an automated way to pinpoint the source of performance issues and cost overruns, and AI-driven recommendations to optimize code in ways that mitigate unnecessary costs, speed new development, and eliminate data pipeline problems.”

Unravel Data’s platform centers around its AI-driven Insights Engine, designed to comprehend the intricate details and complexities inherent in contemporary data platforms and their underlying infrastructure. This engine is trained to process and understand the ongoing, vast streams of data, offering immediate insights into both application and system performance. Additionally, it provides recommendations for optimizing costs by suggesting appropriate instance sizes and implementing code improvements to enhance both performance and financial efficiency. Integrated with Unravel’s automated guardrails and alerts, the Insights Engine empowers organizations to achieve significant efficiency within their data clouds at a large scale.

"Our latest research shows that the adopters of cloud data warehouses struggle with data pipeline complexity, lack of staff/expertise, and an inability to predict workloads,” says Kevin Petrie, VP of Research at The Eckerson Group. “FinOps platforms for cloud data analytics, such as Unravel, provide the granular visibility that stakeholders need to predict and monitor spending. This makes it easier for companies to optimize workloads, change user behavior, and get a handle on governing cloud costs."

Unravel for Snowflake encompasses several additional features, including:

• Enhanced visibility allowing for precise cost allocation through chargeback/showback reports.

• Insights specific to warehouses, focusing on recommendations for consolidation and optimizing underutilized resources.

• Reporting on compute and storage unit costs, showcasing average costs per project, query, and user across time.

• Insights and recommendations concerning SQL optimization, addressing filter, join, and projection inefficiencies, alongside other enhancements to improve query efficiency. This aims to boost capacity, accommodating more users and requests without increasing expenditure.

• Customizable dashboards offering concise summaries and in-depth insights into spending, performance, and unit costs.

• Customizable alerts utilizing OpenSearch-based alerts to anticipate resource usage spikes, providing early warnings before impacting the cloud bill, surpassing Snowflake’s default alert options.

To delve deeper into how Unravel aids Snowflake customers in optimizing their data cloud costs, and to request a complimentary "Health Check" projecting annual cost savings for Snowflake warehouses and queries through Unravel’s optimization insights and recommended actions, visit www.unraveldata.com/snowflake. Additionally, you can register for our upcoming webinar scheduled for December 7th.