Compare - Databricks VS Redpanda

Here’s the difference between Databricks and Redpanda. 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 Redpanda

Redpanda is the modern streaming data platform for developers. API-compatible with Apache Kafka, the product has a breakthrough architecture with 10x lower latencies, single binary deployment with built-in features, and tiered storage in the cloud with a unified streaming API. Redpanda offers a free community edition and commercial options for both self-hosted and SaaS.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesData Streaming
StageLate StageMid Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaSOn Prem
Business ModelCommercialCommercial
PricingFreemium, Contact SalesContact Sales
LocationSan Francisco, USCalifornia, US
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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