| Feature | Description | Benefit | |---------|-------------|---------| | | Runs workloads on‑premises while off‑loading heavy aggregations to a cloud node. | Lower latency for local users; cost‑effective scaling. | | AI‑Assisted Data Prep | Built‑in GPT‑4‑style suggestions for data cleaning, schema inference, and anomaly detection. | Faster data‑prep cycles, fewer manual steps. | | Dynamic Visual Templates | Templates that adapt to data volume, automatically switching between static charts and progressive loading visualizations. | Better performance on large datasets. | | Native Data Lineage | Automatic tracking of data origins across pipelines, with a visual lineage map. | Easier compliance, auditability. | | Enhanced Security | Support for FIDO2/WebAuthn, fine‑grained row‑level security, and encrypted backups. | Stronger protection of sensitive information. | | Versioned Deployments | Ability to roll back to any previous release of a dashboard or report with a single click. | Reduced risk when iterating on analytics assets. |
| Q | A | |---|---| | | Ecuvonix offers a limited‑feature “Community” edition for educational purposes, but it caps data volume and lacks premium connectors. | | Can I run Ecuvonix on Kubernetes? | Yes—starting with version 4.2, the Core Engine supports containerized deployment. Official Helm charts are provided in the customer portal. | | What about data privacy? | All data in transit is encrypted (TLS 1.3). At rest, you can enable AES‑256 encryption for the local store, and the cloud component respects the same encryption standards. | | Do I need a dedicated IT team for upgrades? | Not necessarily. The auto‑upgrade feature can be enabled to pull patch releases automatically; major version upgrades (e.g., 4.5 → 5.0) still require a planned downtime window. | | Is training available? | The vendor provides on‑site workshops, virtual instructor‑led sessions, and an extensive e‑learning library (often included with a subscription). |
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