What is Preset?

Preset is a modern data exploration and visualization platform built on the open-source Apache Superset. It enables businesses to create, share, and collaborate on data analytics and visualizations at scale. Preset supports a wide array of data sources, providing flexible, powerful tools to build rich visual dashboards that make data insights accessible and actionable across organizations. Its cloud-native architecture ensures that it can handle massive datasets efficiently, providing real-time insights with a focus on security and compliance.

Flowchart showing data processing from sources to ingestion and transport, storage, query and processing, transformation, and analytics experiences with Preset Cloud.

How Preset Can Enhance Your Business

Integrating Preset into your business strategy offers significant advantages:

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Rich Data Visualization: Turn complex data into clear, actionable insights with advanced visualization tools.

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Real-Time Decision Making: Access and analyze data in real-time to drive faster, more informed decisions.

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Collaborative Analytics: Facilitate teamwork with shared dashboards and interactive reports.

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Scalability: Easily scales to meet the demands of growing data volumes and user concurrency.

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Reduced IT Overhead: Minimize reliance on IT for data queries and reports.

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Enhanced Data Governance: Maintain control with robust security and permission settings.

Flowchart showing the process from extracting and loading data (Fivetran) from various sources to staging) (Snowflake, transforming and modeling (DBT), storing and analyzing (Snowflake), resulting in visualizing and self-serving using a data pipeline (Preset).

Why we love Preset

Plytrix chooses Preset for its standout features and capabilities:

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User-Friendly Interface: Intuitive design makes it accessible for all expertise levels.

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Extensive Customization: Tailor dashboards and visualizations to fit unique business needs.

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Open-Source Foundation: Built on Apache Superset, ensuring flexibility and innovation.

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Powerful Integration: Connects seamlessly with most SQL-speaking databases.

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Advanced Filtering: Dynamic filters enhance exploratory data analysis.

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Community Driven: Benefits from the robust, collaborative input of a global community.

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llustration of four people sitting around a table, representing expert partnership in data solutions