Skip to content 🎉 Announcing our Unstructured Data Monitoring Product and Series B Extension

Anomalo x GOOGLE CLOUD

The Data Quality Solution for Google Cloud

Integrate seamlessly with BigQuery and Google Dataplex to ensure high quality data for AI and analytics

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What joint customers are saying

“Anomalo with Google BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation. Anomalo automatically detects data quality and availability issues and helps us get to the bottom of problems before stakeholders and data users across the company are even aware of them. It is a great place to be as a data team, moving from reactive to proactive mode of operation, powered by the combination of BigQuery and Anomalo.”

Gilad Lotan
Head of Data Science and Analytics at BuzzFeed

“Using Anomalo with Google BigQuery gives us more confidence and trust in our data so we can make decisions faster. Anomalo automatically detects data quality issues and their root cause analysis helps us resolve issues faster. BigQuery and Anomalo are a great combination in our data stack.”

Alan Johnson
Head of Data Office at Branch

Overview

Anomalo x
Google Cloud

With Anomalo, BigQuery users can monitor for data issues and resolve them quickly. Anomalo provides data quality monitoring to your BigQuery or AlloyDB tables so you can catch data issues before anyone else.

BigQuery offers unprecedented scalability and speed for your analytics needs. As you use these capabilities to do more with your data, it’s important to have confidence that the data itself is high quality. Leveraging data insights without automated data quality can expose your business, products, and users to unwanted risk. When quality is in place, not only is risk minimized, but everyone knows they can trust the data, increasing the adoption of analytics across the organization.

Anomalo automatically detects data issues and understands their root cause, ensuring you can trust the quality of your data before it is consumed by BI, analytics, and machine learning frameworks. Anomalo is a Google Cloud Ready (GCR) partner for BigQuery and AlloyDB. This program recognizes partner solutions that have met a core set of requirements to ensure the best possible integration.

“Organizations using data to make decisions or as an input into ML models need to ensure accuracy and quality. With Anomalo’s continuous monitoring, customers can ensure their data is always accurate, even as it evolves over time. We’re pleased to partner with Anomalo and help enterprises democratize access to data at scale,” said Naveen Punjabi, Director, Analytics & Data Science Partnerships at Google Cloud.

Use Cases

Monitor any Google Cloud table across the entire data and AI lifecycle

Monitor any table in BigQuery or AlloyDB

Drastically reduce the operating costs of building and maintaining manual checks or tests. Anomalo’s AI-based monitoring seamlessly integrates with BigQuery and AlloyDB and is Google Cloud Ready certified.

Trusted Analytics across Looker and your entire BI Stack

BigQuery offers unprecedented scalability and speed for your analytics needs. As you use these capabilities to do more with your data, it’s important to have confidence that the data itself is high quality.

Enable new GenAI and ML use cases

Data quality is the #1 reason leadership doesn’t invest in more advanced data use cases. With Anomalo’s monitoring, customers can improve trust and confidence in the data used across all Data science and Gen AI workloads.

Seamless integration with Google Dataplex for lineage

When Anomalo flags a data concern, our lineage features can help you trace the issue. Anomalo hooks into Google Dataplex’s lineage graph to determine both the upstream causes and the downstream consequences.

Deploy in-VPC in Google Cloud

Maintain complete control over your data with a secure in-VPC deployment, ensuring governance and compliance.

Anomalo works with your Data Stack

Get Started

Meet with our expert team and learn how Anomalo can help you achieve high data quality with less effort.

Request a Demo