Database

Connect and stream from wide range of databases to power your data visualizations.

🔌 Supported Databases

  • Relational: Oracle, MySQL, Microsoft SQL, PostgreSQL, SQLite, MariaDB, IBM DB2, Azure SQL, Google Bigtable, Snowflake
  • NoSQL: MongoDB, Redis, Amazon DynamoDB, Cassandra, Neo4J
  • Search Engines: Elasticsearch

⚙️ Key Features

  • You can have multiple Queries per database.
  • Each Query Counts as a Data Source and can be used from Visualizations.
  • Connect to any supported database directly from Lygos.
  • Each database may require different parameters for connection.
  • You can create and check a new connection at Database View:

  • Afterwards, you can Create, Edit, or Remove Queries to fetch and process the data you need.
  • You can go to Query view by clicking into a query on the right list:

  • On this View, you can input further options, enter query and configure polling frequency, window size and polling mode.
  • Query Options: Options such as connection options, or collection/table depending on database type can be inputted per query.
  • Database Query: Enter a query to execute on the database (bottom left pane)
  • Polling Frequency: You can control how often your data is refreshed.
  • Data Window Size: This is how many past results are stored in your data window.
    • Data Windows can be used for animations of data visualizations.
    • If Data does not have datetime values, data receival time can be used as its temporal value, and thus be animated.
    • For example, polling data every minute and with window of 60, you can animate your last hour with 60 data points on data visualizations and maps.
  • Data Polling Mode: You can determine if the query is polled on demand or on in the background.
    • On Demand: Data is temporary. It is polled only if a visualization is actively using this data source on the screens.
    • On Background: Data is persistent. It is polled on the background and data window is stored when app closes or relaunches.
  • Data Format: Determine Data Format of incoming data through our Data Format Tool.
  • Preview Results: instantly to validate your data before use in visualizations.
    • Raw Data: You can see data received as result of your query or errors if database returned an error.
    • Formatted Data: Your final data source after your data format is applied.