Analytics software provider, Splunk, has released a new platform which allows anyone to explore, analyze and visualize data in Hadoop.
Hunk, the next generation of big data analytics, is built on patent pending virtual index technology that delivers self-serve analytics without the need for specialized programming skill sets, fixed schemas or costly integrations.
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Hunk also provides a rich developer environment, including an integrated Web framework and software development kits for the most popular development languages.
Splunk vice president of product management, Sanjay Mehta, said Hunk was transforming the way organizations analyze their data in Hadoop by replacing drawn out development cycles with software that enables customers to deploy and deliver insights in hours instead of weeks or months.
"Hadoop is an increasingly important technology and many organizations are storing vast amounts of data in Hadoop," he said.
"However, this often creates a problem because the data sets become too big to move and more traditional approaches to analytics of raw data in Hadoop require brittle, fixed schemas.
Mehta said customers were consistently telling the company about the cost, time and sheer difficulty of getting analytics out of their Hadoop clusters.
"With Hunk, we applied everything Splunk has learned from 10 years of experience with more than 6,000 customers to this unique challenge." Monash research president, Curt Monash, said the company had been early in understanding machine-generated data, and in building an analytic stack focused on it, with strengths in quasi-real-time interfaces and in schema-on-need handling of time series data.
"Now Splunk's analytic tools are also available for machine-generated data stored in Hadoop," he said.
"Splunk has further strengthened its schema-on-need story by adding its new higher-performance data store." More than 100 organizations recently took part in a Hunk beta testing program.
Hitachi solutions executive officer, Hideaki Sakaue, said, after participating in the program, Hunk was quick and easy to visualize data in Hadoop clusters. "Hunk removes the need for specialized skill sets and lengthy development cycles so organizations can focus on innovation," he said.