Dashtera

Dashtera is a no-code data visualization and dashboarding platform for business intelligence, engineering and science, and finance and trading teams. Users upload Excel files or connect to SQL and NoSQL databases, cloud platforms and real-time data streams to build dashboards without writing code. The platform is designed for people working with large, fast-changing datasets, including IoT, industrial and financial data feeds.

Dashboards are built with a drag-and-drop editor, combining charts, gauges, tables, maps and video panels on a single screen. Data connectors link to SQL databases such as MySQL, PostgreSQL and MariaDB, as well as streaming sources like Redis, InfluxDB and WebSockets, so updates appear on charts in real time. Filtering, grouping, aggregation, drill-down and drill-through let users move from a high-level view into more detailed layers of a dataset.

Dashtera's machine learning module trains supervised models for regression and classification, using eight algorithms including linear regression, random forest, LightGBM and XGBoost; an Auto Train option picks a model automatically, and up to five trained models can be stored and reused for new predictions. The Video Panel adds uploaded or live video next to charts, with overlays such as labels, points and rectangles placed on top of the footage. Dashboards can also be exported as PNG images or scheduled as PDF reports.

Dashtera offers a free Basic plan with up to 3 charts per dashboard, 100 MB of storage and 500 data points, alongside paid Business Intelligence, Engineering & Science, and Finance & Trading plans priced per user per month with unlimited charts and data points. Add-ons cover statistics charts, real-time streaming charts, map charts and machine learning. Dashtera can be deployed on cloud, on-premises, or as OEM.

Use cases

• Forecasting monthly sales from price, discounts and ad spend
• Real-time dashboards for IoT sensors and industrial automation
• Motorsports telemetry synced with cockpit video
• Monitoring live security or process video alongside data