Here’s the difference between Databricks and Avo. The comparison is based on pricing, deployment, business model, and other important factors.
Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.
Avo is a next-generation analytics governance tool improving how product managers, developers, and data teams plan, track, and govern product analytics across organizations. Avos tracking plan interface lets teams standardize event schemas, branched workflows and peer reviews keep stakeholders informed, and type safe analytics code and debuggers make implementation faster than ever. Avo works seamlessly with existing analytics tooling so teams can ship faster without compromising data quality.
|Categories||Data Warehouses, Data Lakes||Data Privacy and Governance, Product Analytics|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Pricing||Freemium, Contact Sales||Freemium, Contact Sales|
|Location||San Francisco, US||San Francisco|
|Companies using it|