Databricks
$30,000–$1,165,800per year
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Databricks
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How much does Databricks cost?
Cost range$30,000 - $1,165,800
per yearWant more detailed pricing?
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Average savings with Vendr13.35%
Deals handled by Vendr104
How does Vendr get me a low price?About Databricks
Databricks Overview
Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI. They enable massive-scale engineering, collaborative data science, full-lifecycle machine learning, and business analytics. Databricks is priced based on a consumption model that uses Databricks Units (DBUs). Customers pay for the amount of processing and storage resources they consume, measured in DBUs per hour. As a market leader with sticky products considered to be critical infrastructure, Databricks has high retention.
Databricks's 2 Products
Databricks is a data and artificial intelligence which offer unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.
Additional support for Databricks platform through the individual cloud providers.
Compare prices for similar companies
| Supplier | Databricks | |
|---|---|---|
| Avg Contract Value | $676,958 | $6,419,398 |
| Deals handled | 104 | 365 |
| Unique Purchasers | 61 | 217 |
| Avg Savings | 13.35% | 11.15% |
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Low chances of successMedium chances of successHigh chances of successVendr community insights for Databricks
Company with 201-1000 employeesA while ago
"We purchased Databricks through the AWS marketplace and were able to work with our AWS rep to get additional free credits by transacting via their marketplace. "Company with 201-1000 employeesA while ago
"Due to our increase in consumption, we were able to negotiate an increase in our credit discount rate with Databricks and improved our support fee. "Company with 201-1000 employeesThis year
"We were able to increase our cross-sku discount from 5% to 10% by leveraging a 3 year commitment and the new partnership."Company with 201-1000 employeesThis year
"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. "Company with 201-1000 employeesThis year
"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. "Company with 201-1000 employeesThis year
"Upon our renewal, we were growing with the Databricks platform. They were able to offer us better discount rates, a free silver training subscription, and AWS credits. "Company with 201-1000 employeesThis year
"By adding new use cases were able to work with Databricks to increase our SQL and DLT discounting from 0% to 20%. "Company with 201-1000 employeesThis year
"When working with databricks we were able to drop our support costs from 15% of the total usage commitment to 12% of our usage commitment. "Company with 201-1000 employeesThis year
"We understood that discount was not based on consumption, but based on the length of term committed. We were able to secure a 3 year deal with the existing SKu discount, AWS cross Service discount at 14% and 32% discount off support. We were also able to swop out our $10k funding to additional Learning elements. Annual payments with net60"Company with 201-1000 employeesThis year
"Databricks communicated that they are moving away from offering quarterly payments and their standard terms are Net 30. They cited that anything outside of this takes multiple levels of approval. We were able to leverage a multi-year term to secure semi-annual net 45 payments on a 36 month term. They do not proactively offer roll-over but with a simple ask and explaining the flexible nature of the growth expectations we were able to get 10% roll-over included in our renewal terms."Company with 201-1000 employeesThis quarter
"Year over year our contract continued to grow, we were at a place where we had constant rollover and unoptimized spend. Databricks only incentivizes growth so we were trapped and forced to compromise on our discounts. We worked to get leadership, finance, and engineering teams to stress how their pricing structure perpetuates the problem year over year. We were able to keep some rollover, rightsize our contract, and keep discounting (even though we had to fall a couple points). "Company with 201-1000 employeesThis quarter
"We had to calculate our usage based off a trailing 12 months because of some bugs we found in our usage. Databricks looks at the trailing 3 months and that was not an accurate picture of consumption. "Company with 201-1000 employeesThis quarter
"By signing a 2 year renewal with Databricks, our payment terms were changing from our current Quarterly to Annual. Given our growth we were consistent on pushing back on this and was able to obtain semi-annual payments."Company with 201-1000 employeesThis quarter
"As this was a new purchase for the team, we were able to push hard on budget requirements and leveraged Vendr to help us understand which areas of the agreement we could press them on such as support costs and training credits. Ultimately saving our team over $100k on this purchase. "Company with 201-1000 employeesThis quarter
"Azure has a 30% discount if purchasing Databricks through their marketplace. "Company with 201-1000 employeesThis quarter
"Be sure to check utilization on support fees. We were able to get support fees waived (typically anywhere from 20-30% of the contract) due to purchasing through Azure."Company with 201-1000 employeesThis month
"While Databricks offers many integrated features, it's essential to consider the potential for vendor lock-in. Using open formats like Delta Lake can help mitigate this risk by ensuring your data remains portable"Company with 201-1000 employeesThis month
"Databricks often claims significant cost savings compared to other platforms like Snowflake. However, these claims should be taken with caution. Some users have found that while Databricks can be cheaper in certain scenarios, it often requires more effort to achieve those savings. It's advisable to conduct a proof of concept (POC) to compare both platforms under your specific use case "Company with 201-1000 employeesThis month
"It's crucial to understand your specific workload requirements. Databricks offers many features and configurations that can be fine-tuned to optimize performance and cost. However, this flexibility also means you need to invest time in configuring your workloads properly. For example, if you run a lot of smaller jobs, AWS Glue might be more cost-effective due to its billing model "About Vendr
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