SAN JOSE, Calif.--(BUSINESS WIRE)--STRATA + HADOOP WORLD – iguazio is demonstrating its groundbreaking continuous analytics solution at Strata + Hadoop World. Designed to help enterprises solve big data operational challenges and generate real-time insights, iguazio’s real-time continuous analytics platform reduces time to insights from hours to seconds, eliminating data pipeline complexities, while seamlessly integrating with Apache Spark and Kubernetes.
Data is at the center of iguazio’s real-time continuous analytics platform, which simplifies the data pipeline and speeds it up: iguazio ingests, enriches, analyzes and serves data – all in one unified platform. It integrates with the open-source frameworks of Spark and Kubernetes to accelerate insight generation and enable rapid deployment of a variety of stateless analytics services and data processing tasks. iguazio’s platform secures the data and allows accessing the same records simultaneously through streaming, object and database APIs.
“Digital transformation is leading us to agile data consumption, and continuous analytics is its cornerstone. In different industries, especially in financial services, healthcare and IoT, organizations have a need to tackle the challenge of complexity across the entire data lifecycle,” said John L. Myers, Managing Research Director at Enterprise Management Associates – a Boulder, Colo.-based industry analysis firm. “iguazio’s continuous data consumption approach empowers organizations to ingest data into a unified repository and run multiple stateless processing engines which enrich, aggregate, infer and act on the data to enable this transformation.”
Early deployment customers benefitting from iguazio’s faster data pipelines and real-time insights include car ride sharing services, stock exchanges, global banks, leading cloud-based services companies and large-scale IoT deployments.
iguazio’s business value is driven by three key capabilities:
- Real-time insights and faster analytics through iguazio’s unified data model and record-breaking performance.
- Developer and operator simplicity and agility, with iguazio’s next-gen cloud-native data platform and integration with Kubernetes, serverless computing and leading analytics processing frameworks such as Spark, Presto and TensorFlow.
- Fine-grained security which enables secure data sharing across business units, multiple users and applications without compromising privacy and data governance.
“To remain competitive, enterprises need to act upon business insights that are continuously generated from data collected from multiple sources and enriched with historical context,” said Asaf Somekh, iguazio’s CEO. “iguazio works with this constant flow of fresh data from streaming sources, blends it with previous insights and historical data from multiple repositories and generates fresh insights that can be viewed in an interactive dashboard for actions and insights. Continuous analytics allows for information to be generated with sub-second granularity. It’s a complete re-thinking of the traditional data pipeline, where data has been collected into static files and logs and processed later in a multi-stage approach.”
Learn more about iguazio at Strata + Hadoop World in San Jose, booth 1428, March 14-16. The iguazio continuous analytics platform enables breakthroughs in application performance and efficiency, delivering 10 million transactions per second with sub 100 microsecond application latencies, across streaming, NoSQL, objects or files.
iguazio was founded in 2014 with a fresh approach to the data management challenges faced by today’s enterprises. The iguazio continuous analytics platform has fundamentally redesigned the entire data stack to bridge the enterprise skill gap and accelerate performance of real-time and analytics processing in big data, the Internet of Things (IoT) and cloud-native applications. Backed by top VCs and strategic investors, the company is led by serial entrepreneurs and a diverse team of seasoned innovators in the USA and Israel. To learn more about iguazio, visit www.iguazio.com or follow @iguazio.