Unravel supports all major cloud data platforms, providers, and technologies. Unravel provides complete full-stack visibility into performance and cost. No matter what you’re running—and chances are, it’s a complex mixture of different platforms, multi-cloud, on prem, hybrid—Unravel has you covered. Get 100% data observability + FinOps across your entire data estate to visualize performance and costs with granular precision, enable self-service optimization for performance efficiency and cost management, and proactively manage your modern data stack investments for improved ROI.
Whatever you’re running, Unravel has you covered
Today’s data stacks are a complex mixture of different cloud providers, platforms, and technologies. Multi-cloud, on-prem, hybrid. Simply understanding what’s going on is a challenge, let alone optimizing it all for performance and cost. That’s where Unravel comes in.
Unravel’s automation and AI-powered Insights Engine improve performance, reliability, and cost-effectiveness across Databricks workspaces. Run more Databricks workloads for your budget, forecast usage/spend with greater predictability, and bring more workloads to the cloud faster.
Improve performance, reliability, and cost-effectiveness across Snowflake warehouses. Unravel’s automation and AI-powered Insights Engine deliver real-time, user- and query-level cost reporting, code-level optimization recommendations, and automated spend controls.
Unravel provides deep visibility into BigQuery compute and storage spend and automatically delivers AI-powered cost optimization recommendations for slots and SQL queries. Run more BigQuery workloads more efficiently, bring more on board faster and forecast usage/spend with greater predictability.
Unravel’s automation and AI-powered Insights Engine provide complete visibility and critical insights into the performance and cost—down to the individual user or job level—and deliver self-service optimization recommendations to run more EMR workloads for your budget, forecast usage/spend with greater predictability, and bring more workloads to the cloud faster.
Unravel’s automation and AI-powered Insights Engine provide complete visibility and critical insights into the entire Cloudera stack. Instantly understand why Spark, Impala and Kafka applications fail or miss SLAs and reduce MTTR (mean time to repair) from hours (even days) to minutes. Get self-service optimization recommendations to improve performance and resource usage.
Spark allows for rapid innovation and high performance in your applications; Unravel makes Spark perform more reliably. Providing deep insights and intelligence into the Spark runtime environment, Unravel helps your team keep your data pipelines production-ready – and keep your applications running at optimal levels.
Kafka is critical to modern analytics pipelines, allowing for the lightweight transport and processing of streaming data; Unravel helps optimize your Kafka environment by providing real-time insight and operational intelligence across distributed systems and data streams, as well as automatically analyzing and resolving performance issues.
To make the most of your SQL skills in today’s data pipelines, you need to ensure predictable, high-performance processing in complex Spark, Hadoop, and cloud environments. Unravel provides unprecedented clarity and intelligence into cloud-scale SQL operations, for queries that complete faster and more reliably.
Unravel provides a real-time view of the entire Google Cloud Platform technology stack and the applications running there. Unravel can quickly report on performance and stability issues with Spark, MapReduce, Hive, etc. applications running on Dataproc, and can then provide both contextualized recommendations or autonomous actions to fix problems as they arise.
HPE Ezmeral Data Fabric binds together many data sources from a single data cluster, and Unravel Data puts you in the driver’s seat for all of them. Optimizing performance across multiple technologies is a piece of cake with Unravel’s automated insights.
Hadoop lets you harness an unlimited volume and variety of data; Unravel provides unprecedented visibility and automation to optimize how that data is used. With Unravel, teams can understand and anticipate application behavior, resolve resource contention, and reduce performance bottlenecks — for apps that run fast and meet SLAs.
Impala helps your team get more of big data by scaling SQL to Hadoop; Unravel provides guidance to improve the performance of these big data SQL queries. Finding the root cause of performance issues, Unravel tunes and troubleshoots queries to increase data access speed and improve overall efficiency.
Many teams use HBase to create and access fast, low-latency data catalogs within Hadoop; Unravel elevates HBase performance with greater visibility and AI-powered guidance. Unravel provides a complete view of HBase runtime usage and concrete recommendations for correcting issues that can affect app service levels.
