Unravel Data announced the
general availability of its 2022 Fall Release of the Unravel Platform. With
this new release, users of the Unravel Platform are now able to leverage
several new capabilities including support for Google Cloud BigQuery and Cost
360 for Amazon EMR. These new capabilities are designed to help users boost the
efficiency of their public cloud spend, simplify troubleshooting across their
big data ecosystem, and improve the overall performance of their
business-critical data applications.
“Data teams have a clear mandate to ensure that the data pipelines that support
their data analytics programs are fully optimized, running efficiently and
staying within budget. However, given the complexity of their data ecosystem,
getting answers about the health and performance of their data pipelines is
harder than ever,” said Kunal Agarwal, founder and CEO of Unravel Data.
“Whether they’re migrating more workloads to platforms like BigQuery or Amazon
EMR or already running it as part of their data ecosystem, enterprise data
teams are struggling to control costs and accurately forecast their resource
requirements that are ultimately impacting their ability to execute on their
strategic data analytics initiatives. With this latest edition, Unravel
customers will be better able to gain the full-stack observability they need to
optimize performance and manage their costs according to budget.”
Some of the new capabilities in the Fall Edition of the Unravel Platform
include:
- Full Cost Governance for Amazon EMR: With Unravel’s new ‘Cost 360 for
Amazon EMR’ capability, customers can enjoy full visibility and gain critical
insights into their spending on Amazon EMR. A new cost page has been added that
enables customers to observe their EMR cost and usage trends and identify
anomalies, slice and dice chargeback views with a variety of filters, and actively
monitor costs against user-defined budgets that can automatically trigger
warnings if costs are projected to exceed predefined thresholds.
- Advanced EMR Cluster Management: To streamline the management of EMR
clusters, a new Clusters page is available inside the Unravel UI for Amazon
EMR, allowing users to actively monitor all their EMR clusters and cost data
from a single location. The Clusters page also helps users quickly visualize,
debug, and troubleshoot issues at both the cluster and application levels.
- Unified View into BigQuery Deployments: Unravel enables customers to
now view all information about any number of Google Cloud Platform projects and
all BigQuery queries in these respective projects from a single interface. Key
performance indicators and metadata are collected for every query. The new
edition now supports advanced relevance-based ranked search, faceted search
based on metadata and performance indicators, time-based search, as well as
drill downs into the individual query level.
- Enhancements for Databricks: When scheduling a job to extract metadata
from Databricks, Unravel users can now specify multiple database names and can
extract up to 25,000 Delta tables in a single job. Other Databricks
enhancements include custom pricing for workload and tier combinations, APIs to
detect anomalies and metrics, as well as the ability to encrypt passwords and
tokens to harden application security.
More than 20 enterprise companies in the Fortune 100, including two of the top
five global pharmaceutical companies and three of the top 10 financial
institutions in the world, today rely on Unravel Data to gain unprecedented
visibility across their data stacks, proactively troubleshoot and optimize
their data workloads, and define guardrails to govern costs and improve
predictability.
Data teams are invited to sign up for a free trial of the Unravel Platform at: https://www.unraveldata.com/create-account/
