HP announced the expansion of its data and analytics products at the HP Big Data Conference in Boston.
The networking company said the new release of HP Vertica will feature data streaming and log file text search to power high-speed analytics on Internet of Things (IoT) data.
The company will offer support for contributions to open source technologies, including optimized Hadoop performance, integration with the Apache Kafka distributed messaging system, and advancements in Distributed R predictive analytics.
HP said its Haven Startup Accelerator program provides affordable access to both HP Big Data and Application Delivery Management software and services to early-stage companies.
Excavator will offer native support for the Apache Kafka open source distributed messaging system to enable organizations to ingest and analyze streaming data, including Internet of Things, in near real-time. Manufacturing process control, supply chain optimization, healthcare monitoring, financial risk management, and fraud detection will be some of the use cases.
Excavator will enable organizations to collect and index large log file data sets generated by systems and business applications, helping IT organizations to identify and predict application failures and cyber-attacks, and investigate authorized and unauthorized access.
The new version of Vertica brings significant increase in performance on Hadoop formats like ORC and Parquet. HP worked with Hortonworks to develop a new access layer that enables SQL queries to run on ORC files, resulting in a 5x increase in execution times.
HP has open sourced its Flex Table technology to the global developer community.
HP announced its commitment to integrate Vertica with Apache Spark enabling accelerated data transfer between Vertica and Spark. With this, developer community can build their models in Spark and run them in Vertica for analytics.
The HP Haven Startup Accelerator program is designed to assist HP’s developers and innovators by making HP Big Data and Application Delivery Management software products accessible to early-stage companies.
HP’s hardware platforms for big data include HP ProLiant DL380 clusters, purpose-built Apollo 4510, 4530 and 4200 compute and storage servers, and HP’s asymmetric Big Data Reference Architecture.
70 million consumers are using YP each month. It analyzes more than 3 billion events daily.
Bill Theisinger, VP of Engineering at YP, said: “Coupled with ORCReader, HP Vertica for SQL on Hadoop gives us the ability to analyze our data quicker and to execute queries in ways which we have not been previously able to do.”