Here’s the difference between Databricks and Acho. 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.
Acho offers a cloud-based data warehouse solution. It offers a solution where the data can be compiled, engineered, and shared within the team without coding. It also enables the users to transform data resources into assets with a point-and-click interface and tools such as annotations, worklog, and visualizations. Some of the features include network visibility, privilege separation, data encryption, etc.
|Categories||Data Warehouses, Data Lakes||Operational Analytics , Business Intelligence (BI)|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Pricing||Freemium, Contact Sales||Contact Sales, Free trial|
|Location||San Francisco, US||Boston, US|
|Companies using it|