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Databricks says joint presales presentations with partners are helping customers commit to larger, multi-year data and AI programs in Australia and New Zealand. The examples cited by Databricks executives include commitments of $4 million or $5 million over three to four years, with an estimated $500,000 to $1 million in related services work for partners. Those are vendor-reported examples, not an average or proof that joint presentations alone caused the deals.
What Databricks says is happening in joint sales presentations
In a report published by Reseller News on 29 September 2026, Databricks vice president and country manager Adam Beavis described a pattern in which the company’s presales team presents alongside a partner, after which a customer may commit to a multi-year program. He said: “The pattern that we’re seeing at the moment is this idea that we’ll do the pre-sales presentation usually with a partner with us, and they will go, ‘Bang, we’re in’. They’ll sign off a three or four-year commit,” Reseller News reported.
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Beavis cited deals worth $4 million or $5 million as examples. The report gives no sample size, average value or methodology, so the figures should be read as examples he described—not as typical Databricks deal sizes or a market-wide measure. The account is specific to Databricks’ Australia/New Zealand business, rather than a global survey.
How the partner can earn services work
The platform commitment is only one part of the commercial opportunity. Beavis estimated that each of the referenced deals usually includes $500,000 to $1 million for services, depending on customer negotiation, and said partners typically deliver that work rather than Databricks professional services. His estimate was relayed by Reseller News and was not independently verified.
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| Part of the engagement | Reported role | What the report establishes |
|---|---|---|
| Presales | Databricks presents with a partner | Beavis described this as the pattern he is seeing; the report does not quantify how often it occurs. |
| Platform commitment | Customer commits to Databricks | Examples cited by Beavis were $4 million or $5 million over three to four years; these are not reported as averages. |
| Services delivery | Partner typically delivers implementation-related services | Beavis estimated $500,000 to $1 million in services in each referenced deal, with the amount depending on negotiation. |
In Beavis’s account, the partner’s economic interest is therefore not limited to joining the sales meeting. A partner may also be positioned to implement the agreed work. The source does not break down which services are included, how they are priced, or how much delivery partners ultimately retain.
Why Databricks wants repeatable partner solutions
Databricks APJ vice president of partnerships Corrie Briscoe described a model that starts with “beachhead” customers and workloads: early work on needs that have not yet been addressed, followed by packaging the resulting intellectual property into service delivery kits partners can use. She said the aim is to help partners address customer needs faster.
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This resembles, but should not be conflated with, Databricks’ Brickbuilder offerings. The company describes Brickbuilder Solutions as end-to-end lakehouse solutions and services for cloud migrations and common industry use cases, and Brickbuilder Accelerators as pre-built code and frameworks for implementing a methodology or Databricks capability. The report does not say that every service delivery kit Briscoe mentioned is a Brickbuilder product.
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Briscoe’s examples point to vertical and function-specific work rather than a single generic pitch: skills transformation and agentic workloads for HR, and customer-experience transformation for chief marketing officers. She also described partners diversifying and developing specializations. The commercial logic is that Databricks brings platform expertise while a partner contributes the industry context, specialist capabilities and delivery capacity needed to shape a use case into an implementable program.
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What partners and customers should consider
A joint presentation is a route into a larger conversation, not a substitute for defining the work. The reported account does not specify a standard contract, implementation scope or division of responsibilities. For an actual engagement, the customer and partner should make those details explicit before treating a platform commitment and services estimate as one package.
- Discovery and design: Confirm who leads customer discovery, translates the business problem into a data or AI use case, and decides what is in scope.
- Specialist contribution: Establish how the partner’s industry or technical skills complement Databricks’ platform expertise, and identify any capability gaps that need training or additional resources.
- Reusable assets: Ask whether a relevant solution, accelerator or service kit exists, what it contains, and how much adaptation the customer’s environment requires.
- Services allocation: Define the implementation deliverables, partner and vendor responsibilities, fees, milestones and acceptance criteria separately from the platform commitment.
- Long-term value: Identify what success looks like after the initial use case and how further workloads would be evaluated, rather than assuming that a multi-year term alone guarantees expansion.
These are practical questions raised by the structure of the reported model; they are not quantified performance measures from the report.
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Enablement and the shift from first wins to expansion
Briscoe said Databricks’ global investment in skills and enablement training was close to $20 million, with “a good percentage” in Australia. She did not give an Australian total. This was her estimate as reported by Reseller News, not an independently audited figure. Databricks’ Partner Program page separately lists training and technical enablement among program benefits, alongside co-selling access, joint go-to-market funding and connections with sales teams. The company lists consulting/system integrators, connected partners, data partners and built-on partners, and describes progression through program tiers; current eligibility and benefits can change, so partners should confirm terms directly with Databricks.
Briscoe characterized the previous five years as a period focused on landing initial use cases at enterprise customers. Her stated next step is for partners to build longer-term customer relationships by bringing successive use cases onto the platform. That is a strategic direction, not a quantified forecast of future partner revenue or a guarantee that customers will expand.
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