An Intellyx Brain Candy Update
Since our first coverage of Unravel in 2019, the firm has made strides in helping the most data-dependent enterprises better optimize data-intensive applications for operational resiliency, performance and cost across hybrid IT data stacks.
Data applications may include complex analytics, machine learning and data migration and transformation work, but the way they consume resources across distributed data sources is actually distinctly different from the typical software application with its point-to-point service integrations and brokered messages.
Whether the activity is a specific data analyst’s daily queries, or a repeating event emanating from a Kafka stream, each such action produces a thread of data operations that can create a splash in several different data lakes, databases and systems of record, making troubleshooting hitches harder.
Unravel’s ability to execute in this arena depends not just upon the product’s capabilities, but educating IT leaders on the specific requirements and bottlenecks that can be addressed by DataOps observability. To this end, they are sponsoring an extensive annual DataOps research study and industry events.
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