Apache Beam
The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases.
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Apache Kafka
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
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StarTree
StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning:
- Data Volume: query performance sustained at petabyte scale
- Ingest Rates: millions of events per second, continuously indexed for freshness
- Concurrency: thousands to millions of simultaneous users served with sub-second latency
With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.
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Condense
Condense, built by Zeliot, is a real-time data streaming platform that combines fully managed Apache Kafka with everything needed to build and run event-driven applications on top of it. Instead of stitching together Kafka, stream processors, connectors, and observability tools, teams get a single platform: managed Kafka clusters, pre-built and custom transforms, deployment pipelines, and monitoring, all running inside their own cloud account (AWS, Azure, or GCP) so data never leaves their environment.
Condense includes Vapr, an autonomous AI supervisor that coordinates specialist agents for Kafka, Kubernetes, Grafana, and coding tasks, cutting the operational load of running streaming infrastructure. Condense is proven in high-throughput production environments, powering connected vehicle platforms, automotive OEM telematics, EV fleets, logistics operations, Travel & Hospitality, Healthcare, Fintech, etc that process billions of events per day.
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