Session two of our Databricks Data + AI Summit 2026 recap is here - and this time we're unpacking Lakebase, Databricks’ new cloud-native operational database built for AI apps. If you missed the announcement or are still figuring out how it fits into your stack, we're breaking it down at our next Lakehouse, Lagers & Legends [Virtual] session on July 22nd. Guest speaker Kushagra Verma walks us through how Lakebase extends the Databricks platform, enabling transactional workloads alongside analytics with built-in low-latency data access. Join the conversation. Register here: https://luma.com/jvrl0d6f #V4C #LLL #DataEngineering #Databricks #Lakehouse #AI
v4c.ai
IT Services and IT Consulting
Scottsdale, AZ 125,279 followers
We Unify. We Elevate. We Foresee
About us
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
- Website
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https://www.v4c.ai
External link for v4c.ai
- Industry
- IT Services and IT Consulting
- Company size
- 201-500 employees
- Headquarters
- Scottsdale, AZ
- Type
- Privately Held
- Specialties
- Databricks, Data Engineering, Agentic AI, Machine Learning, MLOps, GenAI, and Advanced Analytics
Employees at v4c.ai
Locations
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Primary
Get directions
9375 E. Shea Blvd
Ste #100
Scottsdale, AZ 85260, US
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Office No. 708 C Wing Teerth Technospace,
Bengaluru - Mumbai Hwy
Pune, Maharashtra 411045, IN
Updates
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Missed Databricks Data + AI Summit 2026? We're recapping the highlights that matter most—starting with a big one, Agent Bricks—today. Piyush Varma (Lead Data Engineer) is walking through how Agent Bricks powers agents that go beyond Q&A: investigating issues, reasoning over enterprise data, and recommending next actions. Using a real-world e-commerce monitoring scenario, he’ll walk through how Agent Bricks supports anomaly detection, historical log analysis, and automated recommendations. On the agenda: 🔹 Agent Bricks — what's actually production-ready 🔹 Real-world architecture walkthrough 🔹 Best practices for deploying in your own environment 🔹 Live Q&A — bring your implementation questions Whether you were at Summit or catching up now, save your seat: luma.com/5knit6e4 #V4C #LLL #DataEngineering #Databricks #AIAgents #TechMeetup
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A complete customer view starts with a unified data foundation. Join Jordan Kramer (Databricks) and Josh Hallman (V4C) on July 16th to discover how regional banks and credit unions are building governed Customer 360 solutions that power AI, improve decision-making, and deliver more personalized customer experiences. We'll also take you behind the scenes of a real-world Customer 360 deployment, where Josh will share how V4C designed, architected, and delivered the solution for a regional financial institution, from technical design to business impact. 📅 July 16 | 2:00–2:45 PM ET Register here: https://lnkd.in/e2AsNyrk #Customer360 #Databricks #RegionalBanking #CreditUnions #DataGovernance #AI
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Migrating relational databases to Databricks Lakebase shouldn't mean crossing your fingers and hoping nothing breaks. Our new blog introduces LakeMover, a Python-based migration accelerator built by v4c that takes enterprise database migration from guesswork to a fully engineered, auditable process. LakeMover handles the full migration lifecycle in three phases: 🔍 Assess readiness before you move a single row ⚙️ Migrate with self-healing, parallelized loading ✅ Validate with checksums that prove every row landed right No silent failures. No broken keys. No surprises. Read the full breakdown 👉 https://lnkd.in/eR3CCeDq #Databricks #Lakebase #DataEngineering #v4cai
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Reflecting back on an incredible month, we're revisiting a few of the moments that made June so special—including an evening at Yankee Stadium with the Databricks Digital Native team, Sigma, and customers. Great baseball was just the backdrop. The real highlight was spending time with the people who make this partnership so rewarding! Special shoutout to Caroline Keefe Sarah (Breckenridge) Hord Allison B Fabien Vaucheret Dylan Pins for a fantastic evening. Looking forward to the next one! #Databricks #DataAI #CustomerExperience
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What if provisioning Databricks Lakebase environments took nothing more than a project name and a branch list — with zero long-lived tokens? That's the idea behind LakeForge, our Databricks Asset Bundle project that provisions Lakebase from GitHub Actions using OIDC authentication and short-lived, Databricks-generated credentials. One project, multiple branches, fully reproducible from workflow inputs: stand up or retire environments on demand. Full write-up here 👇 https://lnkd.in/eawbdUkx #Databricks #Lakebase #DataEngineering #CICD #MLOps
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A few of our favorite captures from #Road2Summit and Databricks Data + AI Summit 2026 📸 From customer conversations and partner events to booth highlights and unforgettable memories, here's a look back at an incredible week in San Francisco! #R2S #Databricks #DataAISummit
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We set out to turn a cross-country drive from NYC to San Francisco into a living, breathing data experience. This is the 4-layer blueprint that powered real-time AI conversations, live telemetry, and community Q&A. 🔹 Layer 1 - Data Ingestion: Unified batch and streaming pipelines via Databricks Lakebase and Delta Lake, capturing 15-second telemetry and 30-minute social feeds with zero duplicates. [Read Blog - https://lnkd.in/gHqAERkM] 🔹 Layer 2 - Storage & Governance: Dual-layer architecture using Lakebase for live data and Delta Lake for AI, all governed by Unity Catalog without manual configuration. [Read Blog - https://lnkd.in/gmxATEkq] 🔹 Layer 3 - Compute & Orchestration: Automated three-pipeline workflow using Serverless SQL Warehouses and Databricks Workflows for zero-maintenance operation. [Read Blog - https://lnkd.in/gNjw8xqY] 🔹 Layer 4 - Live Integrations: Interactive visitor experiences including real-time Q&A and social feeds powered by Databricks Genie and FastAPI. [Read Blog - https://lnkd.in/gxR-ibbu] Four layers. One platform. Zero-touch cluster management. #Road2Summit #v4c #Databricks #DataEngineering #LakehousePlatform #DataAISummit
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While thousands gathered at Moscone to hear the latest innovations from Databricks, our Lakehouse, Lagers & Legends community was gathering across India. Multiple cities. Hundreds of attendees. One keynote. To celebrate #DataAISummit, we transformed our community series into Databricks keynote watch parties, bringing together Databricks practitioners and data professionals to experience the biggest announcements in real time. A beautiful reminder that the Databricks community extends far beyond San Francisco! ❤️ #DataAISummit #Databricks #Road2Summit #LakehouseLagersAndLegends
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The signatures on the #Road2Summit car represent more than memories: they represent the people who elevated the journey. Behind each of these signatures is someone who shaped Road2Summit by championing the vision, offering guidance, and helping transform an idea into something much bigger than we ever imagined. We'd like to extend our deepest gratitude to Ali Ghodsi, Ron Gabrisko, Kori O'Brien, Chris Klayko, Sheridan McDonald, Tony Gilbert, Amy Mahoney, Harris Thayer, Erin Butler, Steve Gilmour, Dan Tobin, Andrew Ferguson, Skip Stenger, Andrew Wamberg, Monica Telles, Sara Doyle, Matt Johnson, Zach Jordan, Ari Kaplan, and Zak Brown for being part of one of the most significant chapters in v4c's journey. Together, these individuals—along with hundreds of others—represent the people who helped carry Road2Summit from Charlotte to Data + AI Summit. #Road2Summit #Databricks #DataAISummit
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