Data made easy by Aggua’s Data Management Platform
The collaborative data management platform specifically built for teams with Snowflake or BigQuery at the heart of their architecture.

Fivetran
PowerBI
ReDash
RedShift
AirFlow
Google Data Studio
Looker
ThoughtSpot
Amazon S3
Firebolt
Google Cloud Storage
AWS Anthena
Snowflake
MongoDB
Tanleau
Preset
Fivetran
PowerBI
ReDash
RedShift
AirFlow
Google Data Studio
Looker
ThoughtSpot
Amazon S3
Firebolt
Google Cloud Storage
AWS Anthena
Snowflake
MongoDB
Tanleau
Preset
be structured - in life, in reality, our work, and our data sources. Aggua helped create structure in our data structure.”

Tal Montal
Head of Data, Avo
Data Fabric
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making.
Provides a bird's eye view of your data assets
Rich, descriptive and contextual, allowing data discovery
Make your entire data universe searchable with
our multi-dimensional entity discovery (events,
jobs, databases & dashboards)

Allows users to avoid annoying commands and governance tasks required in BigQuery & Snowflake
Data Governance enforcement allows users to automate tagging of sensitive assets, the protect important information and View the PII, to see impacted PII columns
Access requests can be managed in an organization's communication channels directly.

Data engine built specifically for BigQuery & Snowflake SQL, supporting all functionality provided by both systems.
End-to-end column level traceability and lineage across systems in a single platform.
Holistic view of the entire data stack (Orchestrator, ETL, BI & Warehouse.)

The unique ability to track and report on granular costs allows the team to understand and act on its computing (jobs) and storage (table) costs.
Aggua’s insights allows the data teams to stay on top of their costs in real-time.

Powerful source-to-target capabilities
ERD support
Ticketed requests ensures nothing goes missing
Catalog features make it easy to find what you need, when you need it

Easily detect and fix anomalies in your data
Automatically add anomaly detection to your ETL workflows
Trigger anomaly detection from anywhere in your system

Keep track of context and ensure single source of truth
Distribute communication in main channels like Slack and Teams.
Remove friction between business and technical users.

Built for Snowflake


Built for BigQuery
Designed for your data team
Head of Data
Head of Data
Rather than your Heads of Data wondering what is going on underneath the hood of their team's data stack they can become immediately informed with a few clicks. They can get access to costs, data lineage and documentation without needing to take time out of a data engineer's day.
Data Platform Architect
Data Platform Architect
Data pipelines, tables and infrastructure are constantly changing. Meaning that data platform architects and data engineers have to spend a lot of time tracing what a data type change will break. With Aggua, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.
Data Product Manager
Data Product Manager
Data Product Managers shouldn’t need to chase down data engineers and analysts to get definitions of metrics or end-to-end data workflows that they then need to standardize. Instead, using Aggua, they can centralize all of your company’s data knowledge in one location.
“I felt that we were in good hands, in terms of business understanding and the organizational side of things. They understood how I, as head of data, will use this tool and how my employees will use it, which are different perspectives.”

Tal Montal
Head of Data, Avo