Unravel Data will introduce new capabilities for operationalizing big data applications in production at scale with the launch of Unravel 4.4.
Unravel 4.4 introduces new innovations and capabilities to simplify operations whilst ensuring big data applications are highly reliable and predictable under the most demanding of eEnterprise big data and analytical workloads.
“We were the first in the category to deliver automated configuration tuning recommendations. Our latest release builds on that, leveraging our Machine Learning engine to extend automated tuning recommendations to an entire cluster for all tenants,” said Kunal Agarwal, CEO, Unravel Data. “Users get an end-to-end, granular view that shows how each application is performing across all infrastructure dependencies. Combined with other new capabilities in this release, we are helping eliminate the painstaking, trial-and-error configuration, troubleshooting and remediation workflow that’s long plagued big data Operations teams and now made it possible to manage large scale deployments in an agile and dependable manner.”
In order to accommodate growing enterprise big data deployments, Unravel 4.4 incorporates several major innovations. These include:
- Automation. Unravel 4.4 features new auto-tuning capabilities and sessions frameworks, enabling users to tune jobs automatically to a desired goal (such as speedup, SLA, and resource efficiency). Unravel leverages artificial intelligence operations (AIOps) optimization techniques to converge operation metrics with recommendations and actions to deliver a desired business outcome.
- Capacity Planning: Big data clusters tend to accumulate lots of data and operators are constantly under pressure to add more capacity to meet demands. Traditional approaches to capacity planning are very labor-intensive and exacerbate the problem through the use of ad-hoc spreadsheet models and reliance on tribal knowledge of cluster administrators. With the addition of capacity planning reporting, Unravel 4.4 provides an intuitive and data-driven approach to visualize and predict the growth of the cluster and make an informed decisions around capacity and resource requirements.
- Cluster Optimization: Unravel has long provided actionable insights and recommendations on a per-application basis. The platform was the first in the industry to provide recommendations for tuning precise configuration parameters. Unravel 4.4 extends this capability to provide configuration tuning recommendation at the entire cluster level. With these global recommendations, cluster administrators can now improve the performance of all jobs and applications running on the cluster.
- NoSQL Support: This release adds support for NoSQL and HBase. Unravel 4.4 provides an APM-centric view for HBase usage and helps identify anomalies and outlier issues (for example, table/region hotspotting) that could adversely affect the application, while providing remediation techniques.
- Small Files Analysis: This release offers a new reporting feature that gives users a comprehensive view of entire directories and a granular look at small files. This feature allows users to reduce resource utilization by these small files, freeing resources for larger workloads.
Unravel 4.4 will be generally available in September 2018.
The Latest
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...