Turning fragmented data estates into unified engines for insight and innovation at hyperscale velocity.
End-to-end lakehouse implementation and optimization, so your data and AI run on one governed platform.
Postgres-backed operational apps built directly on your lakehouse data, no separate database to manage.
Production-ready AI agents tuned on your own data, so accuracy improves with every deployment.
Natural-language access to your data, so business teams get answers without waiting on a query.
Custom GenAI and ML models built and deployed on your data, with full lifecycle support.
Centralized control over every model, agent, and AI tool touching your data.
One governance layer across your entire data estate, so access and lineage are never in question.
Reliable, automated data pipelines that cut manual ETL work and keep data fresh.
A single governed home for all your data, ready for both analytics and AI workloads.
End-to-end lakehouse implementation and optimization, so your data and AI run on one governed platform.
Postgres-backed operational apps built directly on your lakehouse data, no separate database to manage.
Production-ready AI agents tuned on your own data, so accuracy improves with every deployment.
Natural-language access to your data, so business teams get answers without waiting on a query.
Custom GenAI and ML models built and deployed on your data, with full lifecycle support.
Centralized control over every model, agent, and AI tool touching your data.
One governance layer across your entire data estate, so access and lineage are never in question.
Reliable, automated data pipelines that cut manual ETL work and keep data fresh.
A single governed home for all your data, ready for both analytics and AI workloads.
Scalable foundations aligned to business KPIs
Modak builds scalable Databricks lakehouse foundations using Delta Lake, Unity Catalog Databricks governance, and Cluster Policies, streamlining data consolidation, governance, and FinOps from day one. Our blueprints follow medallion architecture principles to align technical execution with strategic business KPIs.
Production-ready pipelines built for scale and reuse
Delta Live Tables, Auto Loader, and Workflows, deliver discoverable, governed, and production-ready data assets structured around medallion architecture patterns. Our pipelines are powered by CI/CD, cataloged lineage, and native support for multi-cloud and failover.
End-to-end policy enforcement and observability
Modak Databricks implementation services provide end-to-end governance through Unity Catalog Databricks integration, combining policy-as-code controls, data lineage, and audit readiness. Fine-grained access, real-time observability, and quality gates ensure every dataset is secure, compliant, and trustworthy.
Sub-second insights with structured streaming
Leveraging Structured Streaming, DLT with change data capture, and Photon execution, we enable sub-second insights that fuel dynamic dashboards and event-driven decisions. Our solutions combine high-performance compute with operational simplicity.
ML lifecycle automation and GenAI deployment
We streamline the AI/ML lifecycle with MLflow, Feature Store, and Model Registry automating everything from feature engineering to drift monitoring. For GenAI, we deploy foundation models on MosaicML with GPU auto-scaling, performance throttling, and continuous retraining feedback loops.
Seamless enterprise integration and 24x7 ops
Modak integrates Databricks into your enterprise ecosystem BI tools, orchestration engines, and cloud-native services using open APIs and event-driven workflows. Our 24x7 managed operations ensure continuous optimization, compliance, and delivery excellence.
100+ Databricks certified engineers, averaging 13 years of data-engineering expertise.
Fortune 100 innovators trust Modak, one of the recognized Databricks certified partners, to deploy and scale enterprise-grade Databricks platforms.
Uninterrupted operations during cut-over safeguard revenue and customer experience.
Reusable blueprints, ingestion frameworks, and governance templates slash delivery cycles across our Databricks implementation services engagements.
Modak delivered exceptional work by completing all planned objectives while proactively identifying design gaps. Their collaborative approach fostered strong knowledge sharing and continuous learning across the engagement. Even under pressure, Modak maintained a supportive and professional environment, ensuring outcomes were achieved with precision and grace.
Modak provided excellent support, demonstrating consistency and commitment in resolving critical user issues within CML. Their proactive engagement and technical depth ensured challenges were addressed effectively, reinforcing trust and reliability throughout the process.
Modak provided excellent support in streamlining Cloud 3.0 integration and setting up key StreamSets components. Their expertise helped simplify the adoption of the new platform within CDF EPP and enabled meaningful product improvements, allowing tenants to focus on pipeline development with minimal infrastructure concerns.
From strategy to execution, helping enterprises modernize with precision and unlock value at every stage.
Look for a Databricks consulting partner with certified engineering depth, proven Fortune 100 delivery experience, and expertise spanning lakehouse architecture, Unity Catalog governance, and medallion architecture design, not just tool implementation.
Timelines vary by scope, but most Databricks implementation services engagements, covering lakehouse setup, medallion architecture, and governance, run several weeks to a few months, depending on data volume, migration complexity, and integration requirements.
We implement fine-grained access controls, policy-as-code, and audit-ready lineage through Unity Catalog Databricks governance, enforcing quality gates so every dataset stays secure, compliant, and trustworthy throughout the Databricks lakehouse environment.
Yes. Databricks integrates with BI tools, orchestration engines, and cloud-native services via open APIs and event-driven workflows, and supports multi-cloud and failover architectures across AWS, Azure, and GCP.
As a Databricks certified partner, Modak provides 24x7 managed operations, continuous optimization, compliance monitoring, and delivery excellence to keep your Databricks lakehouse platform running reliably post-launch.