Redash aids organizations in becoming more data-driven by providing tools to democratize data access.
Miri Infotech Redash is a pre-configured, ready to run image for running Redash on Amazon EC2. Redash is a web based data collaboration platform system written in PHP based on a MySQL, SQLite, PostgreSQL or MSSQL database.
Redash also enables organizations to make sense of the data. Connecting and querying the data sources, building dashboards to visualize data and sharing them with your company is made easy by this comprehensive tool.
Characteristics of Redash
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Easy to Use
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Designed for General Purpose Analysis
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Perfect for Structured Data Mining
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Can perform data extraction, data analysis, and data visualization
Redash sql editor is quick to set up and works with any data source that may need to perform query from anywhere in no time. It was made to enable rapid and easy access to billions of records, that are processed Today Redash data visualization has support for querying multiple databases, including PostgreSQL, Redshift, Google BigQuery, Axibase Time Series Database, Google Spreadsheets, Graphite, MySQL, and custom scripts.
Main features
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Query editor allows organizations to take advantage of all the latest standards like auto-complete and snippets. Share both the results and queries to support an open and data-driven approach within the organization.
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Visualization - once the dataset is ready, select one of the 9 types of visualizations for the query. It can also be exported or embedded anywhere.
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Dashboard lets the organizations combine several visualizations into a topic targeted dashboard.
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Quickly get notified via email, Slack, Hipchat or a webhook when the query's results need attention.
With Redash on AWS, organizations can make the Company data-driven and connect to any data source. It is also simple to visualize and share the data. Moreover, organizations can enjoy the power and comfort of Redash's query editor by
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Writing queries in their natural syntax and explore schemas
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Live auto-complete and keyboard shortcuts
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Creating snippets for elements that are frequently used
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Results are cached for minimal running times
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Scheduling auto-update times for the results to rely on
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Using query results as data sources to join different databases