Here’s the difference between Databricks and Hightouch. 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.
Cloud-based platform to sync customer data to 100+ sales, support, and marketing tools. It allows users to sync data from a data warehouse to anywhere using a simple visual interface or SQL. The product is free to start with one data source and one destination tool. Hightouch charges for advanced features and additional destinations.
|Categories||Data Warehouses, Data Lakes||Reverse ETL Tools|
|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, US|
|Companies using it|