DataGekko
DataGekko is an open-source data analysis and business intelligence platform. It allows users to connect to various data sources, visualize data, and create dashboards and reports without coding.
data-analysis
business-intelligence
data-visualization
dashboards
reports
open-source
DataGekko: Open-Source Data Analysis & BI Platform
Connect to multiple data sources, visualize data, and create dashboards & reports without coding with DataGekko, an open-source data analysis and business intelligence platform.
What is DataGekko?
DataGekko is an open-source business intelligence and data analytics platform aimed at making data analysis and visualization easy for everyone. It provides an intuitive graphical interface that allows users to connect to various data sources like SQL databases, CSV files, REST APIs, etc. and visualize data without writing any code.
Key features of DataGekko include:
- Drag-and-drop interface to build interactive dashboards with advanced visualizations like charts, tables, maps, gauges etc.
- Support for connecting to data sources like MySQL, PostgreSQL, MongoDB, REST APIs, CSV, Excel files etc.
- Custom SQL editor to write queries and analyze data.
- Scheduled reports, alerting and automated actions based on data.
- Role based access control and data security.
- Integration with Python, R and other languages for advanced analysis.
- Can be deployed on-premises or on cloud platforms like AWS, GCP etc.
As DataGekko is open-source, it is customizable to meet specific business needs. The easy-to-use interface makes it suitable for business users, while developers can extend its capabilities further. It enables organizations to build data-driven products, dashboards and applications faster without investing in expensive BI tools.
DataGekko Features
Features
- Connect to various data sources like SQL, NoSQL, CSV, etc
- Visualize data through charts, graphs and dashboards
- Perform data transformation and cleansing
- Create scheduled reports and alerts
- Collaborative analytics and sharing
- Drag and drop interface for building workflows
- Support for R and Python scripts
- REST API for integration
Pricing
- Open Source
- Free
Pros
Free and open source
No coding required
Intuitive drag and drop interface
Support for big data sources
Powerful visualization capabilities
Can be self-hosted on-premises
Cons
Limited native support for unstructured data sources
Steep learning curve for advanced features
Not as scalable as commercial BI tools
Lacks some enterprise features like governance and security
Official Links
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