Your data isn’t the problem. It’s how you're handling it.
Massive clickstreams, sensor logs, transactions, and behavioral data flood in by the second—but your pipelines are straining, jobs are stalling, and batch reports take hours to compile. Meanwhile, your competitors are acting in real time.

It’s time to upgrade your engine.
Inventive’s Big Data Processing solutions help you ingest, transform, and analyze terabytes—or petabytes—of structured and unstructured data with confidence. From real-time event streams to deep historical analysis, we build systems that process large-scale data fast, reliably, and at scale.

Stream. Batch. Hybrid. We’ve got it covered.
Our team designs and implements processing architectures using Apache Spark, Kafka, Flink, Delta Lake, and modern cloud-native services like AWS EMR, Azure Synapse, and Google Dataflow. Whether you need time-series aggregation, ML feature generation, or clickstream analytics—we’ll tailor a stack that fits your velocity.

Power smarter decisions—at scale.
One media platform reduced their data processing time from 11 hours to 45 minutes after moving to a Spark-based pipeline. Another e-commerce brand doubled customer retention using real-time personalization powered by Flink and Redis Streams.

If your data is piling up faster than you can use it, you’re not gaining insights—you’re falling behind.
Let’s unlock real-time intelligence, scale out processing, and get your teams the data they need—when it actually matters.

• You've got more dashboards than decisions.
• Your reports feel retro––in a bad way.
• The phrase 'real-time data' makes your analysts laugh.