Connecting Data
RootCause.ai connects with any structured or semi-structured data.
The engine does not depend on deep native integrations, though for convenience we continue to add connectors. New integrations are prioritized based on customer needs. If a source you require is not listed, please contact our team.
Implementing additional integrations is often straightforward and timely.
File Uploads
Files (CSV, Parquet, etc.) are uploaded and stored in a secure, isolated environment within the platform. These uploads can be used alongside live connections and will be joined by other datasets in the Ontology.
See Uploading Datasets for step-by-step instructions.
Supported Data Connectors
Databases
PostgreSQL – Connect to PostgreSQL databases
MySQL – Connect to MySQL databases
MongoDB – Connect to MongoDB collections
Data Warehouses
Snowflake – Connect to Snowflake with key-pair authentication
Cloud Storage
Amazon S3 – Import files from S3 buckets
Azure Data Lake – Import files from Azure Data Lake Storage
APIs & Analytics
REST API – Connect to any REST API endpoint
Google Analytics – Import Google Analytics data
Coming Soon
Databricks
Google Cloud Storage
Redshift
BigQuery
Azure Synapse
Salesforce
HubSpot
NetSuite
Kafka
Live Data Sync
Connectors support scheduled syncing to keep your datasets up to date. You can configure sync frequency per dataset after importing.
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