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Can splunk cloud be used for Hadoop?

Can splunk cloud be used for Hadoop?

Bringing the Splunk technology stack to Hadoop, letting you create dashboards and share reports using one platform that works with Hadoop on the back-end.

Which Splunk product is used for Hadoop?

Hunk
Splunk says its Hunk product for Hadoop will open up big-data analytics to a wider business audience and also make life easier for developers. Hunk, which is now downloadable for a free 60-day trial, makes Splunk’s analytics available for use on machine-generated data stored in Hadoop.

What is difference between Splunk and Elasticsearch?

Elasticsearch is a database search engine, and Splunk is a software tool for monitoring, analyzing, and visualizing the data. Elasticsearch stores the data and analyzes them, whereas Splunk is used to search, monitor, and analyze the machine data.

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What is Splunk tool?

Splunk is a software platform widely used for monitoring, searching, analyzing and visualizing the machine-generated data in real time. It performs capturing, indexing, and correlating the real time data in a searchable container and produces graphs, alerts, dashboards and visualizations.

Is splunk an ETL tool?

Splunk is schema-less. It can harvest data from anywhere, in any format, store it and then make it searchable. The results can then be easily written out to a structured file that the ETL tool can consume and pass on to the RDBMS where the data is available to your BI suite.

What is difference between elk and Splunk?

ELK. Essentially, Splunk is a single closed-source product, whereas ELK combines the power of three open-source products – ElasticSearch, LogStash, and Kibana.

How does Splunk store data?

Splunk stores data in a flat file format. All data in Splunk is stored in an index and in hot, warm, and cold buckets depending on the size and age of the data. It supports both clustered and non-clustered indexes.