Overview
The imperative today is clear: democratize data across the organization and make it accessible, reliable, and ready for real-time decision-making. TO THE NEW helps enterprises harness the power of Databricks, a cloud-native, Lakehouse platform that combines the best of data lakes and data warehouses. Built on Apache Spark, Delta Lake, and MLflow, Databricks enables a single platform for all your data engineering, machine learning, streaming, and analytics needs.
As Databricks Partner, we help enterprises use this platform to streamline their data strategy, accelerate innovation, and future-proof their data and AI initiatives. From structured to unstructured data, and from streaming ingestion to real-time insights, our Databricks-certified experts help you unlock a scalable, secure, and collaborative data ecosystem to fuel innovation.
- 40+ Databricks certified data engineers
- 30+ Enterprise Data lake implementation over Cloud
- Pre-built Databricks accelerators to reduce GTM
Companies that trust us
Our services
As a Databricks services partner, we help you build and deliver innovative solutions for customers by providing data, analytics, and AI solutions and services to our joint customers using the Databricks Lakehouse Platform.Defining comprehensive data strategies from data onboarding, cleansing, and transformation to advanced analytics. We design cutting-edge data and analytics platform architectures using Databricks, enabling robust analytics supported by insights from a wide range of data sources.
Start your projectDesign, implement, and optimize scalable data pipelines for batch and streaming workloads, leveraging Databricks’ Lakehouse platform for seamless and reliable ETL processes.
Start your projectProvide migration of existing data warehouses, data lakes, or on-premise solutions to the Databricks Lakehouse platform, including cloud and hybrid cloud architecture advisory.
Start your projectEstablish a unified security and governance framework for all your data in the lakehouse using Unity Catalog while implementing comprehensive logging, monitoring, and alerting mechanisms to ensure system health and performance.
Start your projectDeliver full-lifecycle machine learning and GenAI services, from use case identification and data preparation to model development, deployment, and monitoring. Leverage MLflow for end-to-end MLOps and tap into Databricks’ integrated ML libraries and proprietary large language models (LLMs) to build intelligent, generative applications that scale.
Start your projectBuild analytics dashboards and BI reporting solutions using Databricks SQL Warehouse and its native visualizations. Seamlessly integrate with leading BI tools like Power BI and Tableau to deliver actionable insights across the enterprise.
Start your projectDesign, deploy, and manage Databricks environments on any major cloud provider (AWS, Azure, GCP), ensuring secure, scalable, and cost-optimized cloud infrastructure.
Start your projectOur expertise
Cloud-native Lakehouse engineering
Design & implement secure, scalable, and high-performance data architectures using Apache Spark, Delta Lake, MLflow, and Infrastructure-as-Code across cloud platforms
Rapid POC development
Rapidly design, develop, and validate proof-of-concepts using measurable success criteria, production-ready architectures, and agile iteration
AI & machine learning enablement
Support the ML lifecycle with data preparation, experimentation, and lightweight model deployment using MLflow and integrated Databricks tools
Enterprise-grade governance
Implement robust data governance using Unity Catalog for unified access control, data lineage, auditing, and compliance across all workloads
Accelerated use case delivery
Deploy pre-built notebooks and reference architectures to fast-track use cases like recommendation engines or real-time dashboards
Ready to transform your data into a strategic asset with our Databricks expertise?
Get in touchIndustries we serve
Industry-specific data and AI solutions powered by Databricks and TO THE NEW.
Case studies
Real-world success stories of Databricks-driven transformation across industries.
Our Databricks certifications
Certified expertise that ensures reliable, scalable, and high-performing Databricks implementations.
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Subscribe nowWhy partner with us?
Trusted by enterprises for scalable Databricks solutionsRegistered Databricks Service Partner with early access to platform innovations and support
Accelerated delivery using proprietary accelerators with pre-built notebooks and solution frameworks
Complete Data lifecycle support from strategy to implementation, optimization, and ongoing support
Best practices for cost efficiency on Databricks to ensure you get the most out of your investment
Tangible results whether it's optimizing costs, accelerating insights, or enabling new AI capabilities
Let’s Connect
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FAQs
How can Databricks help eliminate data silos in my organization?
Databricks unifies disparate systems by consolidating structured, semi-structured, and unstructured data into a single Lakehouse platform powered by Delta Lake. This enables seamless data sharing across departments and provides a 360-degree customer view, eliminating fragmentation across business units.
Our existing data platforms are built on legacy technologies. Can Databricks support modernization?
Absolutely. Databricks is designed to replace or complement legacy systems with a scalable, cloud-native platform. It supports high-volume data processing, advanced analytics, and seamless integration with modern toolchains, making it ideal for enterprise-wide data modernization initiatives.
How does TO THE NEW ensure data security?
We enforce end-to-end data governance with Unity Catalog, enabling fine-grained access control, audit logging, and data lineage tracking. It helps maintain compliance with regulations like HIPAA, GDPR, and FINRA while ensuring customer data is protected across the entire pipeline.
We face challenges in integrating data from internal and external sources. Can Databricks help?
Yes. Databricks supports flexible data ingestion through Delta Lake, allowing integration from APIs, cloud storage, on-prem systems, and third-party platforms. Its open architecture ensures seamless connectivity and real-time synchronization across sources
How can we evolve from basic descriptive analytics to predictive and prescriptive analytics?
Databricks bridges this gap by enabling machine learning and AI workflows through managed MLflow and a collaborative notebook environment. With built-in support for model training, tuning, and deployment, your team can unlock predictive insights and actionable foresight.
How does TO THE NEW complement Databricks’ offerings?
As a certified Databricks consulting partner, To The New brings deep expertise in data engineering, AI/ML, and industry-specific use cases. We help accelerate implementation, reduce complexity, and ensure your Databricks investment translates into measurable business value