FAQ from Dawiso
What is Dawiso?
Dawiso is an AI-native data governance platform engineered to unify, understand, and trust enterprise data at scale. Unlike legacy tools, it uses large language models and graph-based intelligence to auto-catalog, interpret, link, and document data—transforming governance from static policy into dynamic, collaborative intelligence.
Who benefits most from Dawiso?
Data engineers, analytics leads, compliance officers, and business domain experts—all gain shared context and aligned action. Dawiso bridges silos: technical users get rich lineage and schema insights; business users get plain-language definitions, KPI context, and ownership clarity—without switching tools or waiting for handoffs.
Which systems does Dawiso integrate with?
Dawiso supports 50+ native connectors—including Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, Oracle, Power BI, Tableau, Looker, SAP BW, and Apache Airflow—with extensible API and custom connector support for proprietary or legacy environments.
Is Dawiso built for agile, growing organizations?
Absolutely. Designed for speed and simplicity, Dawiso deploys in under 48 hours—even for complex multi-cloud environments. Its modular architecture scales from startup analytics teams to global financial institutions, with pricing aligned to active users and data sources—not seat-based licenses or opaque tiers.
How does Dawiso support regulatory compliance?
Dawiso embeds compliance into daily operations: automated data classification (PII, PCI, PHI), auditable change logs, role-based access enforcement, retention policy tracking, and pre-built reporting templates for GDPR, BCBS 239, SOX, and internal audit requirements.
Can documentation truly be automated—and trusted?
Yes—through AI-assisted authoring, not AI-generated hallucination. Dawiso analyzes code, comments, usage patterns, and user feedback to suggest accurate, versioned documentation—then empowers subject-matter experts to review, refine, and approve. Every definition carries provenance: who wrote it, when, and why.
What deployment options are available?
Dawiso offers three certified deployment models: fully managed SaaS (ISO 27001 & SOC 2 compliant), private cloud (AWS/Azure/GCP), and air-gapped on-premises—each with identical feature parity, security controls, and update cadence.
Do you offer hands-on exploration before commitment?
Yes. Request a personalized 14-day trial—including onboarding support, sample dataset ingestion, and a live use-case workshop—or schedule a tailored demo with our data governance specialists.
Why does intelligent governance matter today?
Without intelligent governance, data becomes fragmented, inconsistent, and increasingly risky. Dawiso ensures data is not just *available*, but *understood*, *trusted*, and *actionable*—turning governance into a strategic accelerator for AI readiness, analytics velocity, and regulatory resilience.
How does a smart catalog go beyond search?
Dawiso’s catalog doesn’t just index—it interprets. It surfaces related assets, highlights anomalies, recommends synonyms, flags outdated definitions, and surfaces usage trends—making discovery predictive, not reactive. Search returns answers; Dawiso delivers insight.
Is programmatic access supported?
Yes. Dawiso provides comprehensive RESTful APIs and SDKs (Python, JavaScript) for metadata ingestion, lineage export, glossary synchronization, workflow triggering, and custom dashboard integration—enabling seamless orchestration across your data stack.
How deep is Dawiso’s lineage automation?
Dawiso performs full-stack, cross-platform lineage—from raw ingestion pipelines (Airflow, dbt) through transformation layers (SQL, Python) to consumption endpoints (BI dashboards, ML models). It detects both explicit dependencies and implicit ones—like column-level joins inferred from query patterns.
What exactly does Dawiso ingest—and where does data reside?
Dawiso only accesses metadata—schemas, table/column names, descriptions, query history, job logs, and BI report definitions. No raw or sensitive data ever leaves your environment. In hybrid deployments, all processing occurs within your VPC or firewall boundary.