As a trusted Databricks consulting partner, we bring over 8 years of expertise
in unlocking the full potential of enterprise data.
We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to market.
NeosAlpha helps companies to turn their data processes into strategic assets. Our team of experts delivers end-to-end Databricks solutions that drive innovation, streamline complex workflows, and support data-driven decision-making to achieve long-term, sustainable growth. We can help you unlock the full potential of your data and accelerate your business outcomes.
Harness the full power of Databricks with our expert consulting, implementation, and modernization services - built for performance, governance, and innovation at scale.
We architect robust, high-performance solutions tailored to your business goals, leveraging the Lakehouse paradigm to unify data warehousing, ETL, and AI workloads. Our experts design scalable architectures integrated seamlessly with your cloud platform (AWS, Azure, Google Cloud) while meeting strict security and compliance standards.
NeosAlpha’s team delivers a full-scale Databricks setup and configuration. From cluster optimization and workspace structuring to CI/CD pipeline setup and access governance, we ensure a ready-to-scale platform that empowers your data teams to focus on insights and innovation from day one.
We specialize in migrating from legacy data warehouses or cloud-native platforms to Databricks, without downtime. Our phased migration approach ensures performance optimization, business continuity, and a streamlined transition to modern analytics.
Unlock business value with reliable BI and analytics on your Lakehouse. We help you design data models, build dashboards, and implement reporting solutions across tools like Power BI and other real-time platforms to enable faster, data-driven decisions across teams.
Our certified ML engineers build and deploy AI solutions using native Databricks tools, including MLflow, AutoML, MLOps, and the Feature Store. We help enterprises operationalize ML pipelines that drive smarter automation and real-time predictions at scale.
NeosAlpha offers proactive monitoring, cost optimization, and continuous tuning of your Databricks environment. Our ongoing support services ensure platform stability, security, and alignment with your evolving business needs.
From modern data engineering to real-time analytics and AI, NeosAlpha helps you unlock the full power of the Databricks platform with enterprise-grade implementations, automation, and insights.
Let NeosAlpha streamline your Databricks implementation so you can drive immediate insights from your organization’s data.
Schedule a Free Consultation CallFrom cloud setup to analytics-ready pipelines, we help you unlock the full potential of Databricks in a structured, scalable way.
We assess your infrastructure and business needs to help you choose the best-fit cloud provider - AWS, Azure, or GCP - for your Databricks deployment.
Our experts configure regions, clusters, networking, and enterprise-grade security policies to establish a secure and compliant Databricks workspace.
We integrate Databricks with diverse data sources, cloud storage, data lakes, on-prem databases, and external APIs, ensuring secure, scalable connectivity.
We provision, monitor, and auto-scale compute clusters to balance performance and cost, using best practices in resource management and orchestration.
Our team builds robust pipelines for batch and streaming ingestion. We clean, enrich, and transform data using Apache Spark and Delta Lake, readying it for advanced analytics and ML.
We help you develop notebooks, ML models, and data engineering workflows. Automated job scheduling ensures consistent, real-time data processing.
We connect Databricks to your existing BI tools (Power BI, Tableau, Looker, etc.) and enterprise systems to deliver actionable insights and unified reporting.
Post-deployment, we implement continuous monitoring for cluster performance, data quality, and job success rates, driving ongoing improvements and reliability.
Leverage the full power of Databricks across your preferred cloud. Whether you're on AWS, Microsoft Azure, or Google Cloud Platform, we help you unlock advanced data engineering, AI, and analytics capabilities, natively integrated with each cloud's services.
Load, query, and process data directly from BigQuery and Cloud Storage.
Combine Databricks pipelines with Vertex AI for scalable ML training and inference.
Secure access using Google Cloud IAM and service accounts.
Protect workloads with VPC Service Controls and private IP connectivity.
Monitor clusters and jobs using Google Cloud Operations (Stackdriver).
Connect Databricks to Google Colab and Vertex notebooks for enhanced data science collaboration.
Natively integrates with S3, Redshift, Glue, Kinesis, IAM, and other AWS services.
Databricks jobs can run on autoscaling, serverless infrastructure using AWS-native compute engines.
Supports advanced network isolation using AWS PrivateLink and secure VPC peering.
Combines S3 object storage with Databricks Delta Lake for fast, ACID-compliant data lakehouse operations.
Integrates with AWS IAM roles and policies to enforce granular, identity-based access control across workspaces.
Built-in support for multi-AZ and cross-region replication ensures robust DR and continuous uptime.
Natively connects with Azure Data Lake, Synapse, Key Vault, Event Hubs, Logic Apps, and more.
Unified identity and access management using Azure Active Directory and RBAC across Databricks resources.
Run Databricks inside your secure virtual network (VNet) for compliance with enterprise security policies.
Combine Azure OpenAI services with MLflow in Databricks to accelerate GenAI and machine learning use cases.
Gain visibility into cluster spend and usage patterns with Azure-native observability tools.
Easily manage data governance, lineage, and cross-tenant data sharing using Unity Catalog and Delta Sharing on Azure.
Our end-to-end approach helps maximize value while reducing the total cost of ownership (TCO) for your Databricks investment.
From data lake setup to AI integration, we cover the full Databricks lifecycle with a team that understands your industry and goals.
We deliver platform-agnostic solutions across Azure, AWS, and GCP - making your architecture future-proof and flexible.
OBeyond Databricks, we specialize in integrating with Salesforce, Boomi, Apigee, Azure Data Factory, ensuring your entire data ecosystem works seamlessly.
Our pre-built templates and deployment accelerators reduce setup time and help you realize value faster.
We bring in strong governance via Unity Catalog, data masking, access controls, and secrets management, ensuring compliance at scale.
With successful data platform implementations across BFSI, healthcare, retail, and manufacturing, our delivery speaks for itself.
Our Databricks consulting services and solutions serve a wide range of industries, helping organizations turn data into actionable intelligence.
Enable predictive care, patient analytics, and operational efficiency by unifying clinical, claims, and IoT data on the Databricks Lakehouse for secure, real-time insights.
Power risk analytics, fraud detection, regulatory reporting, and customer insights by processing large-scale transactional and market data with Databricks.
Drive personalization, demand forecasting, and inventory optimization using real-time sales, customer, and supply chain data on the Databricks Lakehouse.
Automate purchase order creation, synchronize supplier information, and centralize contract and vendor performance data to enhance operational efficiency, budget control, and supplier collaboration.
Gain insights into student performance, engagement, and outcomes by consolidating learning, assessment, and operational data using Databricks.
Optimize portfolio performance, pricing strategies, and asset management through data-driven insights from property, market, and customer datasets on Databricks.
Enable smart grid analytics, demand forecasting, and asset monitoring by processing real-time and historical energy data with Databricks at scale.
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