Connect and Explore Your Data in Real-time with VoltDB and Chartio Analytics

VoltDB

Easily connect VoltDB with Chartio to analyze and visualize your data in real-time. Chartio makes it easy for everyone on your team to manipulate and interact with your VoltDB data alongside all your business data to get a complete view into your business.

Leverage the flexibility of fully customizable queries with our powerful SQL Mode or try our Interactive Mode, where no SQL knowledge is required, to create interactive dashboards and reports. Create custom dashboards and perform ad-hoc analysis to see the patterns in the vast amount of data stored in your VoltDB in-memory database.

Setting up VoltDB with Chartio takes a few simple clicks, follow our instructions here or reach out to us for help.

Explore Your VoltDB Data Today

Why VoltDB Users Love Chartio

  • Build Your Dream Dashboards

    Gather, organize and visualize all your business data in one place.

  • Effortlessly Create Multi-dimensional Reports

    Grab data from any data source and turn it into a single report or metric – no SQL knowledge needed.

  • Visualize Overall Impact

    Blend together data from your CSVs and the rest of your business to uncover trends and drive growth.

Explore Your VoltDB Data Today
Chartio demo dashboard
analyze charts icon

Powerful Analytics

Blend data from different systems and perform powerful calculations like cohort analysis, forecasting and channel attribution.

customize icon

Customizable

Don't use what everyone else is using. Build custom reports and dashboards that matter to you.

everyone icon

Built for Everyone

Intuitively query, analyze and track your key metrics in real-time to quickly identify trends, patterns and outliers.

sharing icon

Collaborative

Effortlessly share analysis and dashboards with the rest of your team for faster insights.

Chartio has been a great tool that helps us wrangle data into actionable charts and graphs. Chartio gives our non-technical staff the ability to explore what's happening in the data behind the scenes and ask questions about what certain patterns in the data might be.
—Robert Stein, Deputy Director, Dallas Museum of Art