Data made easy by Aggua’s Data Management Platform
The collaborative data management platform specifically built for teams with Snowflake, BigQuery or Redshift at the heart of their architecture.
Fivetran
PowerBI
ReDash
RedShift
AirFlow
Google Data Studio
Looker
ThoughtSpot
Amazon S3
Firebolt
Google Cloud Storage
AWS Athena
Snowflake
MongoDB
Tableau
Preset
Fivetran
PowerBI
ReDash
RedShift
AirFlow
Google Data Studio
Looker
ThoughtSpot
Amazon S3
Firebolt
Google Cloud Storage
AWS Anthena
Snowflake
MongoDB
Tanleau
Preset
Assaf Lavon
Data Analytics & Engineering Team Lead, JLL
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)
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.
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.
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.
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
Built for Snowflake
Built for BigQuery
Designed for your data team
Data Engineer
Head of Data
Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday.
Data Analyst
Data Platform Architect
Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, 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 Scientist
Data Product Manager
Instead of chasing down data engineers and analysts to get definitions of metrics or end-to-end data workflows you need to standardize, using column-level data catalog you can centralize all of your company’s data knowledge in one location. Then run tests across your data pipeline to model the data quality.
“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