Analyze Elasticsearch data in Jupyter.

Load your Elasticsearch data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your Elasticsearch data with data from other sources to make it even more valuable.

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Load data from any source.

Alooma natively supports dozens of the most popular data sources.

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Real-Time Visibility

Track the health of your system with detailed dashboards and real-time views of your data in action

Transform Elasticsearch data in motion

Write real Python in the Code Engine to enrich and transform Elasticsearch data to fit your needs

Reliability and Integrity

The Restream Queue makes sure no data gets left behind, no matter the error

Export your Elasticsearch data along with all of
your other data sources to Jupyter.

Elasticsearch

Elasticsearch is an open-source search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents.

Jupyter

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

Visualize, debug, and filter your Elasticsearch data in real-time.

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