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.

Is this a good time to go Aggua?

“Before using Aggua, it took new employees over two months to get the big picture. With their technology in place new recruits fully understood their domains almost instantly”

Tal Montal

Head of Data, AVO

"Aggua makes data discovery and onboarding easy. It provides a single place where I can answer questions about my data without needing to go into Rivery or Airflow"

Liat Ashkenazi

Head of Data, Artlist

"Aggua lineage capabilities are must have for every data group. Aggua helped us save 85% of the time to understand our lineage"

Assaf Lavon

Data Analytics Team Lead, JLL

"BigQuery caused us lots of issues when overwriting tables. Aggua helped us eliminate this friction. Snowflake commands are annoying, Aggua’s interface for governance is our choice”

Data Science Lead

Global Insurance Firm

“We managed to cut our Snowflake bill by 30%. Aggua is more than just a vendor when it comes to data management, cost efficiency and improving our performance as an organization"

Vice President of Data Engineering

Global Payments Service Provider

“Aggua's lineage component gives us great insights. It has all the needed capabilities we require. The next game changer is to understand the costs we are spending on our data.”

Hannan Kravitz

Data Engineering Team Lead, Artlist

“In the past, employees who joined our organization would ask questions that gave the impression they didn't fully understand their domain. That has changed with Aggua”

Vice President of Data Engineering

UK FinTech Firm

“Aggua seemed like a good place to start containing and aggregating knowledge about our data”

Director, Data Engineering

Fortune-500 Retail Brand

“Integrating new fully functional data sources into Aggua took two days, not six weeks like with other vendors”

Senior Integration Architect

Leading Digital Bank

“Aggua allowed us to gain unprecedented clarity into our data and prevent mistakes that are inevitable with manual work. We continue to explore new use cases with Aggua and looking to expand globally.”

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)

Learn More

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.)

Learn More

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.

Learn More

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.

Learn More

Easily detect and fix anomalies in your data

Automatically add anomaly detection to your ETL workflows

Trigger anomaly detection from anywhere in your system

Learn More

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.

Learn More

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

Learn More

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