Company Research Report: Acryl Data
Company Overview
Name, Mission of the Company
- Name: Acryl Data
- Mission: To bring clarity to data through a next-generation multi-cloud metadata management platform.
Founding Information
- Founded: No information is available.
- Founders: No information is available.
Key People in the Company
- CEO: Swaroop Jagadish
- CTO: Shirshanka Das
- Key Advisors:
- Jeff Weiner (Executive Chairman of LinkedIn)
- Joe Hellerstein (Professor of Computer Science at UC Berkeley)
- Other Key Team Members:
- John Joyce (Co-founder & Engineer)
- Gabe Lyons (Founding Engineer)
- Maggie Hays (Founding Product Manager)
- Harshal Sheth (Founding Engineer)
Headquarters
- Location: No information is available.
Number of Employees
- No information is available.
Revenue
- No information is available.
What is the Company Known For
- Acryl is known for its best-in-class data catalog and observability platform, providing integrated solutions for data discovery, governance, and real-time quality monitoring.
Products
Offered Products
- Acryl Cloud: A comprehensive metadata platform that integrates data cataloging with data observability features.
High-Level Description of the Products
- Acryl DataHub: An operational data catalog that serves as a central resource for technical and non-technical teams.
- Acryl Observe: A real-time data quality monitoring tool that detects, resolves, and prevents data quality issues.
Key Features of Each Product
Acryl DataHub
- Operational Data Catalog: Central resource featuring unified search and visibility into asset documentation and ownership.
- Lineage and Impact Analysis: Provides end-to-end visibility of data lineage and assesses the impact of changes.
- Automated Data Governance: Enforces data governance standards through automation.
- Active Business Glossary: Centralizes business terminology for clarity and consistency.
- Integrated Data Observability: Continuously monitors dataset health and automates anomaly detection.
Acryl Observe
- Real-time Data Quality Detection: Immediate identification of data quality issues.
- Automated Anomaly Detection: Uses AI to identify anomalies and prevent potential disruptions.
- Incident Management: Centralizes the process for tracking and resolving data incidents.
- Integration with Governance Tools: Seamlessly integrates with Acryl DataHub for comprehensive governance and observability.
Recent Developments
Announcements and Enhancements
- Announcing Acryl Observe: Introduction of a fully-integrated observability module designed to enhance data quality management.
- Recent Funding Round: Raised $21 million in a Series A funding round led by 8VC.
Product Launches
- Acryl Observe: A new module focused on real-time data quality management integrated into the Acryl Cloud platform.
New Features Added
- Shift-Left Governance: Early involvement of data producers in governance processes.
- Enhanced Data Observability: Improvements in anomaly detection and incident resolution features.
- AI-assisted Anomaly Detection: Added AI-based tools for more accurate anomaly detection in data quality.
New Partnerships
- No information is available.
Customer Stories
- Notion Labs, Inc.: Utilizes Acryl for insights and ensuring data reliability, leading to reduced Snowflake costs by 25%.
- DPG Media: Saved 25% in monthly Snowflake costs by using Acryl’s Metadata Tests to identify and manage data usage.
- MYOB: Improved data reliability for dbt and Snowflake, reducing breaking changes and enhancing data governance.
Quote from Customer:
“We rely on Acryl to gain insights and ensure our critical data is reliable. Acryl’s managed product takes DataHub to the next level through automation and emphasis on time-to-value.” – Ada Draginda, Staff Data Engineer at Notion Labs, Inc.
Summary
Acryl Data is a forward-thinking company focused on providing a unified solution for data discovery, governance, and observability. With significant investments in real-time data quality management and a robust metadata management platform, Acryl continues to bring clarity and efficiency to data-driven organizations.
Note: The fields marked as "No information is available" indicate areas where the provided data did not contain specific details.