Compare - Databricks VS Pace

Here’s the difference between Databricks and Pace. The comparison is based on pricing, deployment, business model, and other important factors.

About Databricks

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.

About Pace

Pace integrates natively with your business's most important data sources, unify and transform this disparate data into a standardized format that makes intuitive sense for B2B sellers, and that can be easily synced and used by CRMs. With Pace, you can see which insights drive positive sales behaviors and, by extension, the outcomes you care about. So, you can build a set of repeatable sales motions

Comparison Table

Overview
CategoriesData Warehouses, Data LakesPLG CRM
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMB's, Mid- size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesContact Sales
LocationSan Francisco, USNew York, NY
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logoAstrato Analytics logoInfoPrice logoCHONGTECHNOLOGIES logovmt pvt ltd logoCortex logonashtech global logoMatillion logosub-zero group, inc. logolegoai technologies logo
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