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DATABRICKS + Bits In Glass
Build data intelligence
that scales.
Turn enterprise data into production-ready analytics and AI, with governance built in.
A unified platform for data, analytics, and Al
Unified Data Foundation
Bring data engineering, analytics, and AI together on a single lakehouse foundation to reduce sprawl and simplify how teams work with data.
Modern Analytics & Warehousing
Support high-performance SQL, BI, and analytics workloads on an open architecture that replaces legacy warehouses and scales with demand.
Data Engineering & Streaming
Build and run batch and real-time data pipelines on one platform to balance performance, reliability, and cost.
AI, ML & GenAI Enablement
Develop, deploy, and scale machine learning and generative AI solutions using enterprise data and modern AI tooling.
Built-In Governance & Control
Apply unified governance across data and AI assets to support secure access, lineage, compliance, and responsible AI adoption.
The Data and AI Company
Built to understand the uniqueness of your enterprise data
Databricks is the data and AI company behind the Lakehouse architecture and the Databricks Data Intelligence Platform. It unifies data engineering, analytics, and AI on a single, open foundation built for enterprise use.
The platform helps organizations simplify their data estate and govern data and AI centrally by understanding how data is structured and used across the organization.
As a result, organizations can move from experimentation to production at scale with greater confidence and control.
What we can deliver, together
Build Data & AI Foundations
Migrate Legacy Data Warehouses
Assess, plan, and execute migrations from legacy and cloud data warehouses to Databricks. As a result, data architectures shift to a lakehouse foundation that improves performance and reduces complexity.
Design & Build Lakehouse Architectures
Design and implement Databricks lakehouse architectures that unify data lakes and data warehouses. This creates a single, governed foundation for analytics, machine learning, and generative AI.
Build & Run Data Pipelines
Design, build, and monitor scalable batch and real-time data pipelines. These pipelines reliably ingest, transform, and deliver high-quality data aligned to business needs.
Build & Scale AI Solutions
Operationalize ML & AI
Move machine learning and AI from experimentation into production by configuring model lifecycle management, deployment, monitoring, and performance controls using Databricks-native MLOps capabilities.
Establish Data & AI Governance
Implement unified governance across data and AI assets using Databricks-native controls, including Unity Catalog. As a result, organizations can enforce secure access, lineage, compliance, and responsible AI adoption.
Design & Deploy Generative AI Solutions
Design, build, and deploy generative AI and agent-based solutions grounded in enterprise data, leveraging modern patterns such as Databricks Agent Bricks to support governed, production-ready AI.
Deliver Analytics & AI-Driven BI
Build analytics applications and AI-assisted BI experiences on Databricks. In turn, teams gain faster insight, secure data sharing, and better decision support.
Managed Services & Enablement
Operate & Optimize Databricks Platforms
Provide end-to-end Databricks platform management, including administration, performance tuning, reliability, and cost optimization, so data, analytics, and AI workloads run efficiently at scale.
Run Data & AI Operations
Support ongoing data pipelines, ML workflows, and AI workloads with monitoring and operational support designed for enterprise reliability.
Establish a Databricks Center of Excellence
Design and scale a Databricks Center of Excellence that defines standards, governance, delivery patterns, and enablement. This helps teams adopt Databricks consistently and sustainably.
A closer look at the platform
Data Intelligence Platform
An open platform that uses AI to understand the semantics and usage of enterprise data. It enables analytics, machine learning, and generative AI with built-in governance and control.
Lakehouse Architecture
A unified architecture that brings together the reliability of data warehouses with the scalability of data lakes. This supports all data and AI workloads on a single foundation.
Unified Governance
Centralized governance across data and AI assets using a unified catalog. This enables secure access, compliance, and responsible AI adoption, which is critical in regulated industries.
Generative AI
Capabilities to build, customize, and deploy GenAI applications using enterprise data. This includes support for retrieval augmented generation, vector databases, and open-source LLMs.
Machine Learning
& MLOps
End-to-end support for the ML lifecycle—from experimentation to production, using open tools such as MLflow, model serving, and monitoring.
Databricks Lakeflow
An end-to-end data engineering solution with built-in data intelligence. It simplifies data ingestion, transformation, and orchestration through a single approach to pipeline creation.
Partner Spotlight:
The new data
intelligence platform.
Why partner with Bits In Glass
Proven experience with enterprise scale.
Over the past 20+ years, Bits In Glass has helped enterprises automate workflows, activate data, and modernize operations across complex environments.
Databricks certified and ready to go
As a trusted Databricks Partner, we help you implement the platform with strong security, governance, and delivery discipline. As a result, clients see faster time-to-value with lower risk.
Scale up. Scale down. Stay in control
Our flexible Project + Bench model lets you scale delivery capacity as needed without long-term overhead. This approach supports changing priorities without disruption.
One unified team, trusted to deliver
With onshore and offshore talent working alongside your team, we apply real-world knowledge to your challenges. As a result, our clients benefit from reliability, responsiveness, and flexibility.
FAQs
Bits In Glass helps translate analytics and AI goals into practical data platforms using Databricks. We focus on data architecture, governance, and delivery to ensure the platform supports real operational use cases, not just data engineering proof of concepts.
As a result, organizations can scale analytics and AI initiatives with confidence while maintaining control as requirements evolve.
Databricks provides a unified platform for analytics, data engineering, and machine learning. Bits In Glass helps operationalize Databricks by aligning data pipelines, governance, and downstream automation so insights can be used effectively across the business.
Databricks helps organizations address data and analytics challenges by unifying data engineering, analytics, and machine learning on a single platform. By reducing fragmentation, teams improve efficiency, reduce complexity, and accelerate time-to-value across analytics and AI initiatives.
Successful Databricks implementations start with clear data design and an operating model aligned to business priorities. Bits In Glass applies a structured yet flexible delivery approach across discovery, design, and delivery to reduce risk and support long-term adoption.
This ensures data platforms can evolve as analytics and AI capabilities change.
You get a leading data and AI platform paired with a delivery partner experienced in applying it within complex, real-world enterprise environments. Bits In Glass brings data engineering, integration, and governance expertise that helps organizations move from data availability to actionable outcomes.
Bits In Glass helps organizations resolve the data readiness challenges that often limit the impact of AI. We focus on how data is integrated, governed, and used across workflows to reduce fragmentation and improve consistency.
By establishing a reliable data foundation, we enable AI-driven automation and agentic workflows to operate on trusted information—so AI delivers practical, sustainable outcomes rather than isolated experiments.
Engagements typically begin with a focused conversation to understand your objectives, operating model, and current challenges. From there, we work collaboratively to support your objectives, with an engagement shaped around your priorities and the flexibility to evolve.
