Turn vast volumes of complex data into actionable intelligence with our enterprise-grade big data solutions that scale seamlessly with your business needs.
In today's digital landscape, organizations are generating unprecedented volumes of data that traditional systems simply cannot handle. Our big data solutions help you effectively process, store, and analyze massive datasets that exceed the capabilities of conventional database systems.
Whether you need to implement a data lake, establish real-time streaming analytics, or build a scalable data processing architecture, we deliver big data solutions that transform overwhelming data volumes into strategic business assets.
Schedule a ConsultationFrom distributed data processing to real-time analytics, we provide comprehensive solutions to handle your most demanding data workloads.
Design and implement scalable data lakes that store and process structured and unstructured data at petabyte scale with flexible access patterns.
Build real-time data processing pipelines that analyze and act on data as it's generated, enabling immediate insights and responsive decision-making.
Implement high-performance NoSQL and distributed database solutions optimized for specific data models and workload patterns.
Deploy powerful search and discovery tools that make vast data repositories accessible and queryable by both technical and business users.
Establish efficient batch processing systems for complex analytical workloads that require processing massive datasets at scale.
Implement comprehensive security frameworks specifically designed for distributed big data environments, ensuring data protection at scale.
We follow a proven methodology to deliver big data solutions that provide scalable performance and long-term business value.
We analyze your data volumes, velocity, and variety to understand your specific big data challenges and business requirements.
Our experts design a scalable big data architecture that aligns with your processing needs, performance requirements, and growth projections.
We select the optimal combination of technologies and frameworks based on your specific use cases, existing infrastructure, and team expertise.
We optimize your big data platforms for maximum throughput, query performance, and resource efficiency through careful tuning and configuration.
We build your big data solution with a focus on scalability, reliability, and seamless integration with your data sources and consumer systems.
We partner with you for the long term, continuously refining your data engineering solution to adapt to changing business needs and emerging technologies.
Follow our proven implementation approach
Our big data solutions power a wide range of business applications across industries.
Unify customer data from all touchpoints to create comprehensive customer profiles that drive personalization and improve customer experience.
Process and analyze massive volumes of log data to gain operational insights, detect anomalies, and improve system performance and security.
Collect, process, and analyze high-velocity data from thousands or millions of IoT devices to enable real-time monitoring and predictive maintenance.
Capture and analyze social media data at scale to understand brand sentiment, track emerging trends, and measure campaign effectiveness.
Implement cost-effective, compliant long-term storage solutions for historical data that maintain accessibility while reducing storage costs.
Process the large training datasets required for advanced machine learning models and deploy AI applications at enterprise scale.
Scalable real-time analytics engine for personalized customer experiences
10x
Increase in processing capacity
35%
Improvement in recommendation relevance
28%
Increase in conversion rates
99.99%
System availability during peak periods
A rapidly growing e-commerce platform was struggling to process their increasing data volumes and deliver personalized recommendations in real-time. Their existing solution couldn't scale to handle peak traffic periods, resulting in slow page loads and generic product recommendations.
We implemented a distributed big data architecture with real-time stream processing capabilities that could handle millions of events per second. The solution included a data lake for historical analysis, a NoSQL database for rapid lookups, and a stream processing framework for real-time personalization.
The big data solution implemented by Nebula completely transformed our ability to deliver personalized experiences at scale. Even during peak shopping periods, our recommendation engine now processes customer interactions instantly, resulting in significantly improved conversion rates and customer satisfaction.
- CTO, Global E-Commerce Platform
We leverage industry-leading big data technologies to build scalable, high-performance solutions.
Apache Spark
Apache Hadoop
Apache Kafka
Elasticsearch
MongoDB
Databricks
Apache Flink
Amazon S3
Apache Hive
Apache Cassandra
...and many more technologies tailored to your specific project requirements
Take the first step toward transforming your data challenges into strategic advantages with our enterprise-grade big data solutions.