Data Accessibility

Data Accessibility and Presentation

Access your data to create new added value.

Solver Atlas Data Lake provides tools for fast and easy querying and visualization:

  • Redash as SQL editor
  • Jupyter Notebooks as an Exploration Tool
  • Superste for easy report creating

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Key tools for Data Accessability

Access your data in an easy way. Use battlefield-proven tools based on open source.

Redash - helps you make sense of your data

Redash is an open-source data visualization and dashboarding tool that allowed users to connect to various data sources, create interactive dashboards, and share insights with their teams. Redash primarily focused on providing a user-friendly interface for querying and visualizing data, making it easier for non-technical users to work with data. Redash supports integration with a wide range of data sources, including databases (SQL and NoSQL), cloud services, APIs, and data warehouses, making it easy to connect to and query data from multiple platforms.

Key Features: Data Integration, Query Editor, Visualization, Collaboration, User Management

Data Accessibility: Redash Data Query

Jupyter Hub

JupyterHub is designed to facilitate the deployment of Jupyter notebooks in a shared and collaborative environment. It is particularly useful in educational institutions, research organizations, and data science teams where multiple users need access to computational resources and tools for data analysis, machine learning, and scientific computing.

Key Features: Multi-User Support, User Authentication, Spawning and Managing Notebooks, Resource Isolation, Customization

Data Accessibility: Jupyter Hub

Apache Superset

Apache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale. The application started as a hack-a-thon project by Maxime Beauchemin while working at Airbnb and entered the Apache Incubator program in 2017. Apache Superset supports a wide range of data sources, including databases (SQL and NoSQL), data warehouses, cloud storage, and various file formats, allowing users to connect to and query data from multiple systems. Users can create ad-hoc queries and explore data using a SQL-based interface or a drag-and-drop query builder, making it accessible to both technical and non-technical users.

Data Accessibility: Apache Superset

Backstage for storage access

An open platform for building developer portals. Powered by a centralized software catalog, Backstage restores order to your infrastructure and enables your product teams to ship high-quality code quickly — without compromising autonomy.

Data Accessibility: Object Storage

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