Features

Data Sources & Data Connectors

Features

Data Sources & Data Connectors

Supported Databases

Dashtera connects to a wide range of databases and data platforms, making it easy to visualize and analyze your data. Whether your data is stored in relational databases, cloud data warehouses, time-series databases, or real-time streaming systems, Dashtera enables seamless integration with your dashboards. Below are some of the databases and data technologies currently supported.

Relational Databases

Dashtera supports several widely used relational database systems designed for structured data and complex queries.

MySQL – A widely used open-source relational database known for reliability and ease of use.
PostgreSQL – A powerful open-source database with advanced features and strong standards compliance.
MariaDB – A high-performance, open-source database developed as a community-driven alternative to MySQL.
Microsoft SQL Server – A comprehensive database platform designed for enterprise applications, analytics, and business intelligence.

Cloud & Distributed Analytics

Dashtera integrates with modern cloud data platforms and distributed query engines designed for large-scale analytics.

Snowflake – A cloud-native data platform built for scalable analytics and secure data sharing.
Trino – A distributed SQL query engine that allows you to analyze large datasets across multiple data sources.

NoSQL Databases

For applications that require flexibility and high scalability, Dashtera also supports popular NoSQL databases.

MongoDB – A document-oriented database designed for flexibility and fast application development.
Apache Cassandra – A distributed NoSQL database built for high availability and large-scale data workloads.
Redis – A high-performance in-memory data store commonly used for caching, real-time analytics, and messaging.

Time-Series & Real-Time Data

Dashtera can also connect to systems designed for time-based data and live data streaming.

InfluxDB – A high-performance time-series database optimized for storing and analyzing time-stamped data such as metrics and IoT signals.
WebSockets – Enable real-time data streaming so dashboards can receive live updates and instantly reflect changes in charts and visualizations.

Custom Connectors

With On-Premises and Private Dashtera service model, you can also develop completely proprietary data connectors and connect them to Dashtera.
This is ideal when your data infrastructure is your own, rather than based on any widespread data solution.

Contact us to learn more

Supported Data Import Formats

Dashtera also supports importing data from commonly used file formats. This makes it easy to bring data from spreadsheets, exports, APIs, or other systems directly into your dashboards for visualization and analysis.

CSV – A simple and widely supported format for storing tabular data such as spreadsheet or database exports.
XML – A flexible format used for structured and hierarchical data exchange.
JSON – A lightweight format commonly used by web applications and APIs for structured data.
XLS / XLSX – Microsoft Excel spreadsheet formats that support tables, multiple sheets, and formulas.
Parquet – A columnar storage format optimized for big data processing and analytics

Do you have an idea for a new data connector? We welcome suggestions from the community!

If there is a specific database or data platform you would like to see supported in Dashtera, please share your request on the Dashtera forum. Your feedback is essential in helping us prioritize future integrations and improve our platform.