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CHAT WITH YOUR DATA™

CONNECTORS & INTEGRATIONS

SUPPORT FOR ANY SQL DATA SOURCE

  • Just Plug and Play
  • Supported Data Sources

Start Chatting with Data in Minutes, Not Days

Connect to your SQL database in just a few clicks. It really is that easy! 

In order to integrate CHAT WITH YOUR DATA™ with the underlying data source, the following steps are required:

  • Connect CHAT WITH YOUR DATA™ to a SQL database using a JDBC connection.
  • CHAT WITH YOUR DATA™ automatically generates a visual semantic model (including relationships) based on the selected tables from your SQL database.

Reduce Total Cost of Ownership of Analytics - Chat with your Data

 

Connect with any SQL Data Source

Connect with any SQLdatabase – from databases like MySQL and PostgreSQL to modern cloud data warehouses like Snowflake, Google BigQuery and Microsoft Synapse Analytics. We support also SAP HANA!

If you're in love with spreadsheets, also Excel is a supported data source! 

Chat with your Data - Supported SQL Data Sources SAP Snowflake Amazon Redshift Google Big Query Oracle Exasol MySQL IBM DB2 Azure SQL Server

 

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Find answers to

Frequently Asked Questions

How does Chat with your Data™ Front-End Interface work?

CHAT WITH YOUR DATA™ works in your browser as a web app, both laptop and mobile.
Is it possible to embed Chat with your Data™ within an application? It's also possible to embed CHAT WITH YOUR DATA™ as an iframe within another application.
How does Chat with your Data™ capture the data?

CHAT WITH YOUR DATA™ connects to a database using a JDBC connector to query SQL. CHAT WITH YOUR DATA™ can query Databases managed both on-prem or in the cloud.

It works with many different databases (including legacy ones), including SAP HANA, Oracle DB, MySQL, Microsoft SQL Server, Snowflake, IBM DB2, Amazon Redshift, Google BigQuery, PostgreSQL, Databricks (coming soon), etc.

CHAT WITH YOUR DATA™ indexes the data and generates a semantic layer, a visual “Knowledge Graph"
Does Chat with your Data™ support searches on the internet? CHAT WITH YOUR DATA™ doesn’t support search on the internet as a source but requires a JDBC connection to query SQL.
What are the required integration efforts?

In order to integrate CHAT WITH YOUR DATA™ with the underlying data source, the following steps are required: 1) Connect CHAT WITH YOUR DATA™ to a database using a JDBC connection 2) By definition, CHAT WITH YOUR DATA™ automatically generates the semantic model based on the data source.
How long does the integration process take? Based on our experience, the whole process takes from a few minutes to a couple of days, depending on the complexity of the dataset.