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We design and build unified Lakehouse platforms on Databricks, merging data warehousing rigor with data lake flexibility. Our services create a single source of truth for analytics, machine learning, and real-time processing.
We develop advanced analytics and AI solutions on Databricks. Our team builds and deploys machine learning models, creates real-time dashboards, and integrates with BI tools to turn your data into actionable business intelligence.
We migrate existing data workloads to Databricks and optimize your environment for peak performance and cost-efficiency. Our professional Databricks services ensure a smooth transition and a platform tuned for scalability and reliability.
Databricks unifies data engineering, analytics, and machine learning on a single, open Lakehouse platform.
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We architect solutions using core components like Delta Lake, Apache Spark, and MLflow.
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We specialize in building and optimizing Lakehouse architectures for performance and cost.
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We develop and productionize machine learning models directly within the Databricks ecosystem.
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We ensure robust data governance, security, and compliance are built into every solution.
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We focus on creating real-time analytics pipelines and actionable business intelligence.
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We value simplicity over complexity so Databricks systems are easier to maintain and extend.
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Customer business goals are our goals, and we align AI solutions with defined outcomes.
Password-less authentication platform built with Python, Django, PostgreSQL, mobile SDKs, OAuth, OpenID, SAML, and FIDO, delivering secure biometric and multi-factor access for enterprise systems.
Netcorp built a mobile banking app using Kotlin Multiplatform, reducing development time and defects while providing a unified platform for managing accounts, payments, loans, and savings.
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Netcorp optimized and migrated Centevo’s MS SQL-based OLTP system to AWS Babelfish, improving query performance, reducing costs, and modernizing the database environment with AWS Aurora.
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Our Databricks outsourcing services are flexible, efficient, and cost-effective to meet your specific needs. Here are two ways we can help you:
Databricks Staff Augmentation
Ideal if you need to extend your team with dedicated Databricks data engineers, architects, or ML specialists. Perfect for longer-term (6+ months) projects where you require specialized expertise without expanding your internal resources.
Full Databricks Development Outsourcing
You have a data and AI vision; our full team of architects, engineers, and analysts will build the solution. This complete outsourcing service covers your entire project from strategy to deployment.
Outsourcing your Databricks development accelerates your data and AI initiatives. With Netcorp, you get senior data professionals and a clear delivery process.
Get your AI project moving in 1–8 weeks. We quickly match you with the right Databricks specialists, so you don’t waste time on hiring and can focus on your business.
With over 15 years of experience in software development and a team of 80+ developers focused on data engineering and analytics.
Experienced in working with certified experts in Spark, Delta Lake, MLflow, and cloud platforms.
Our development process integrates smoothly with your existing systems and tools. We collaborate effectively with your team, making sure that every step is clear.
From day one, we prioritize clean code, regular testing, and strong security practices. Our team ensures that everything is optimized and your data remains secure.
With experience working on diverse global projects, our team is proactive and understands the nuances of Databricks development.
A proven 5-step process that delivers results. From rapid project initiation to long-term partnership, we ensure your success at every stage.
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Hello,
I believe good partnerships start with an open conversation,and that’s exactly what this form is for.
Tell me what you’re exploring, whether it’s expanding your development capacity, modernising your digital channels, or finding ways for AI to make your business more efficient and compliant. Even if your ideas are still taking shape, I’ll be happy to discuss what’s realistic and where we can bring value.
Every message comes directly to me or someone from our leadership team, and we are usually able to reply within one business day.
No obligations, no sales pressure, just a straightforward and human conversation about your goals.
Databricks is a unified data, analytics, and AI platform built on Apache Spark. It provides a collaborative workspace to perform data engineering, build machine learning models, run SQL analytics, and manage the entire data lifecycle in a single, cloud native environment.
Databricks and Apache Spark are both tools for maximizing your business data. In essence, Apache Spark can handle real-time data processing, analytics, and ML. In contrast, Databricks connects with Apache Spark to add even more services on top. These include data pipelines, integrated workspaces, and ecosystem integrations.
The Lakehouse is an architecture that combines the best elements of data lakes (flexibility, cost-efficiency for unstructured data) and data warehouses (reliability, performance for BI). Databricks implements this with Delta Lake, providing ACID transactions, data versioning, and unified governance.
Yes! Databricks offers a suite of integrations with top data sources and tools. For example:
Databricks can be hosted on a variety of top cloud platforms. Popular picks include Amazon AWS, Microsoft Azure, and Google Cloud Platform. You have a prime choice of cloud hosting, depending on your ideal tech stack.
Databricks consulting drives results for your business through an expert-backed strategy. Overall, Databricks can boost real-time analytics, efficient storage, and AI-ready data.
Databricks is a one-stop shop for consolidating your data streams. By having vast data readily available and organized, you can glean valuable insights. What’s more, Databricks prepares your data for ML to undergo even deeper analysis.
Databricks solutions have a wide array of data features available in-platform. The most in-demand are advanced analytics, warehousing, data governance and AI data preparation.
Comprehensive web application development, including front-end, back-end, and full-stack.
User interface and user experience design services to create intuitive, engaging, and functional digital products.
Cloud infrastructure setup and automation for scalable, efficient software delivery using DevOps methodologies.
Comprehensive quality assurance services, including test automation, manual testing, performance testing.
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