ReportGem ReportGem 中文

REAL-TIME GLOBAL RESEARCH

US Software: Databricks AI Summit: Accelerating Beyond The Lakehouse

Published: 2026-06-18Institution: CitiPages: 14Original language: EnglishEvidence page: 1

Research evidence excerpt

US Software: Databricks AI Summit: Accelerating Beyond The Lakehouse

Flash |

17 Jun 2026 22:56:25 ET │ 14 pages

US Software

Databricks AI Summit: Accelerating Beyond The Lakehouse

CITI'S TAKE

We attended the Databricks Data+AI Summit and Investor Day this week,

where CEO Ali Ghodsi outlined Databricks' move toward a full-stack data

platform. A rapid product release cadence across the conference expands

Databricks focus beyond traditional data warehouse/data lake peers, Tyler RadkeAC

further into transactional database, CDP, streaming, analytics and +1-415-951-1660

security/SIEM, especially with Panther Labs acquisition. The financial tyler.radke@citi.com

momentum and customer + partner checks validated accelerating

Yitchuin Wong momentum for Databricks and broader Data/AI category within software,

with greater workload consolidation, accelerating user growth and rising +1-415-658-4236

yitchuin.wong@citi.com strategic importance as AI adoption scales. We see positive read-throughs

across the ecosystem, including for MSFT, PLTR, SNOW, and MDB, as AI- Peter Griffith

driven data spend continues to expand. peter.griffith@citi.com

Andrew Girard, CFA

Customer Checks - We connected with 6 customers and 6 partners out at the event andrew.girard@citi.com

that highlighted ramping Databricks adoption replacing legacy systems (such as

MSFT SQL Server, on-prem Hadoop) and strong interest and early usage of Genie.

System integrator checks highlighted the increasing strategic importance of the

data layer, with one large SI noting Snowflake and Databricks were the fastest

growing practices (along with AI Labs) both doubling YoY in terms of

resourcing/business trends. At the same time, cost optimization is becoming more

visible in customer conversations.

The English excerpt is extracted automatically from the cited source page and may contain layout or recognition errors. It is never batch translated.

Open report viewer