Databricks Pricing

Databricks offers a diverse range of pricing based on cloud service provider and platform options. It offers tiers such as AWS Standard, AWS Enterprise, Azure Premium, Azure Standard, and AWS Premium. Customers can negotiate discounts based on consumption and additional support fees. The availability of pricing calculators makes it possible to get a close estimate of anticipated costs based on specific needs. Furthermore, Databricks Services can be purchased through the AWS marketplace, and additional credits can be obtained through transacting via the marketplace.

Different tiers come with different sets of features and services offering flexibility to users in terms of their specific needs and budget. It's important for evaluating organizations to review these options as some require a commitment to a particular cloud service provider. When weighing the cost of Databricks users should also consider implementation time, less than 3 months, as well as estimated offboarding and replacement time, approximately 3-6 months.

Databricks Negotiation Insights

In the course of negotiating your contracts with Databricks, certain levers and commercial elements prove instrumental in securing favorable deals. One commonly employed discount lever is the Contract Duration. Making a commitment to longer-term contracts often makes suppliers more inclined to provide better pricing.

Moreover, it's important to note terms of Renewals, which is a common commercial item in contracts. Being keen on ways to mitigate potential cost escalation at the time of renewal can significantly impact your overall estimated spend.

If you're interested in exploring more levers and commercial items that can provide you with a competitive edge in your Databricks negotiation, we recommend trying our Vendr free trial. Our platform offers several more valuable negotiation insights for Databricks, among other SaaS products.

Join Vendr's free trial today to access valuable insights into Databricks pricing and negotiation with our comprehensive collection of data and analytics.

Community Insights for Databricks

Here are some recent insights shared by our community members:

1. "Upon our new purchase with Databricks we were able to work with them to get significant discounts on our Jobs SKU, $100K in free AWS credits and a 10% reduction in support costs." - Community Insight was posted recently.
2. "We worked with Databricks to sign a 3-year agreement with significant growth over the term. In exchange, they were able to increase our discount rates by about 15% across the board and provide us with free credits & services." - Community Insight was posted recently.

Learn more about how Databricks can be optimized for your organization by signing up for a free forever Vendr account. By joining Vendr, you'll unlock additional insights such as the estimated time to implement Databricks, what to expect for your renewal, and other discount levers that can be implemented if you're stuck during the negotiation process. Currently, there are 5 community insights available for Databricks.

Databricks Competitors

AWS

AWS or Amazon Web Services offers a broad set of products and services you can use as building blocks to run sophisticated and scalable applications. The vast array of services offered by AWS makes it a competitor to Databricks in certain aspects like data warehousing and big data processing.

Check out our guide on AWS pricing for more info, as well as our breakdown of the AWS EDP program.

Google

Google's cloud platform is a strong competitor with Databricks. Google offers services like Google BigQuery for data warehousing and Google Cloud Dataflow for real-time analytics, data processing, and machine learning which directly compete with Databricks.

Check out our guide on Google pricing for more info.

Microsoft

Microsoft Azure is another major player in the cloud infrastructure market. Azure offers services like Azure Data Lake, Azure Databricks, and Azure Synapse Analytics that provide big data and analytics solutions, making it a direct competitor to Databricks.

Check out our guide on Microsoft pricing for more info.

MongoDB

MongoDB is a popular NoSQL database that competes with Databricks on the data processing front. With its flexible data model and intuitive APIs, MongoDB offers a strong alternative to the data processing capabilities of Databricks.

Check out our guide on MongoDB pricing for more info.

Snowflake

Snowflake is a modern data platform that provides secure, governed access to all your data. It caters to data warehousing, data lakes, data engineering, data science, modern data sharing, and developing data applications. Snowflake's wide range of capabilities makes it a competitor to Databricks.

Check out our guide on Snowflake pricing for more info.

Databricks Overview

Databricks is a unified analytics platform that effectively integrates data science, engineering, and business operations. It is built for users of all technical abilities and has been recognized for its capacity to streamline complex tasks like big data analytics and artificial intelligence. This robust tool provides an end-to-end, cloud-based environment for data analytics and AI, allowing teams to collaborate and innovate faster.

Compliance and Security

Databricks has established itself as a responsible and trustworthy platform by diligently adhering to global data protection and security standards. It complies with General Data Protection Regulation (GDPR) and Service Organization Control (SOC) 2 requirements. Also, Databricks offers robust security features including Multi-Factor Authentication (MFA) and Single Sign-On (SSO) capabilities which provide added layers of security and control to protect sensitive data.

In regards to personal data protection, Databricks is in strict compliance with Personally Identifiable Information (PII) and Data Protection Act (DPA) regulations. This commitment ensures that users can trust Databricks to responsibly handle and protect their data in accordance with the law.

(Note: The detailed Compliance and Security protocols and practices of Databricks can typically be found in its Security Whitepaper for factual verification.)