One search for every data asset
Goava's unified data catalog brings tables, dashboards, pipelines, topics, APIs, and services into a single searchable place — so your teams find trusted data in seconds, not days.
Faceted Search & Exploration
Explore your data landscape, not just query it
Goava indexes metadata from every connected source so anyone — analyst, engineer, or data steward — can find the right asset fast. Search by keyword, then refine with facets that mirror how your organization actually works.
- Full-text search across tables, dashboards, pipelines, topics, APIs, and services
- Faceted filters by domain, owner, tag, classification, and source system
- Browse by domains and data products to navigate the way your business is organized
- Search results enriched with descriptions, owners, and usage signals
Context & Meaning
Every asset comes with its context
A name and a schema are not enough. Goava attaches the business context — what the data means, who owns it, how sensitive it is, and which glossary terms define it — directly to every asset in the catalog.
- Rich descriptions at the table and column level
- Clear ownership and stewardship on every asset
- Classifications and tags with inheritance — label once, propagate everywhere
- Business glossary terms linked directly to the assets that implement them
Built for finding — and trusting — data
Discovery capabilities that make the catalog the front door to your entire data estate.
Full-text search
Type a keyword and search names, descriptions, columns, and glossary terms across every connected source at once.
Faceted filters
Narrow results by asset type, domain, owner, classification, tag, or source system to land on exactly what you need.
Asset previews
See schemas, column details, lineage summaries, and profiling statistics before you ever open an asset.
Ownership & stewardship
Every asset shows its owner and steward, so questions reach the right person the first time.
Usage & adoption signals
Activity feeds and KPI dashboards for ownership, description, and classification coverage show how well your catalog is governed.
Collaboration
Comments, tasks, approvals, and announcements keep conversations right next to the data they are about.
Frequently asked questions
How is metadata collected?
Goava's native connectors connect to your sources and extract metadata — schemas, names, descriptions, and lineage — on schedules you control. Ingestion runs inside your environment, whether you deploy on-premises or in the cloud inside Saudi Arabia.
Which sources can we connect?
Around 80 native connectors cover the modern data stack: Snowflake, BigQuery, Databricks, Redshift, Oracle, SQL Server, PostgreSQL, MongoDB, Kafka, Tableau, Power BI, Looker, Airflow, dbt, Fivetran, and more — plus API gateways such as Kong, AWS API Gateway, Azure API Management, Google Cloud API Gateway, and Nginx.
Does Goava read our data, or only metadata?
The catalog is built on metadata: structures, names, descriptions, lineage, and tags. If you enable data profiling, statistics such as row counts, null rates, and freshness are computed — and because Goava runs on-premises or in the cloud inside Saudi Arabia, that processing stays entirely within your environment.
Is the interface available in Arabic?
Yes. Goava ships with a natively bilingual interface — Arabic (ar-SA) and English — so data teams and business users across your organization can work in the language they prefer.
Make the catalog your data front door
See how Goava unifies discovery across your databases, BI tools, pipelines, and APIs.