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FAQ
Frequently Asked Questions
Get answers to common questions about DataFuseAI, pricing, and features
Yes — we offer a 14-day free trial. You can connect data sources, build pipelines, run jobs, and explore the platform. No credit card is required to start. Just contact our Sales Team to know more.
Most teams are comfortably operational within 1–2 weeks. Application setup typically includes configuring engines, adding drivers, creating connection profiles, and building the first pipelines or jobs. More complex or regulated environments may take longer, and our team can support onboarding when needed.
DataFuseAI connects to 50+ sources across databases, warehouses, files, and cloud platforms. This includes relational and NoSQL databases, cloud storage, FTP/SFTP, and file formats such as CSV, Excel, and JSON.
Yes. DataFuseAI supports scalable compute through engines like Databricks, Apache Livy, and the native engine. You choose where computation runs, which makes it suitable for large batch jobs, nightly processing, and periodic data refreshes.
Security is built into the platform: tenant isolation, role-based access control, secure credential handling, and detailed activity logs. Deployment choices (cloud, private-hosted, or on-premise) help organizations align with governance frameworks such as SOX, HIPAA, or GDPR requirements.
Yes. DataFuseAI supports managed cloud, private-hosted, and fully on-premise deployments. On-premise environments provide complete infrastructure control and can operate without external network dependency.
Pricing depends on a few factors: your data requirements, support level, data processed, and your deployment model (cloud, private-hosted, or on-premise). We keep costs predictable and transparent. Our team can provide a tailored quote based on your environment and plans.