Hortonworks became the center of attention this week after upgrading its Hadoop distribution with a YARN-based architecture that lets enterprises store and manage all of their data in one place. HDP 2.0 achieves this by providing support for stream processing and rapid ad hoc analysis via Hive 0.12, a faster and more feature-rich fork of the widely used SQL-like interface for Hadoop.

Wikibon Principal Analyst Jeff Kelly says that these improvements transform HDP into a “true multi-application platform” that delivers a wide range of capabilities for storing and interacting with different data types. Nonetheless, there is still a lot of work to be done before Hadoop is ready for enterprise primetime: security, reliability, ease of deployment and simplified integration all have to be addressed in order to make the framework viable for large-scale use. Hortonworks’ growing partner ecosystem is helping the startup do exactly that.

SAS and Teradata recently introduced a new platform that utilizes HDP to consolidate Big Data environment with traditional business analytics systems. Based on Teradata’s Unified Data Architecture, or UDA, the solution offers integrated in-database processing, analytic model building and deployment capabilities for both structured and unstructured data.

HP Autonomy also bolstered its Big Data lineup this week with Qfiniti 10 , the latest version of its contact center analytics solution. The software takes advantage of the IDOL search tool to give decision makers deeper visibility into operations, and introduces new modules for streaming agents’ work schedules and monitoring KPIs.

Even more notable than the newest release of Qfinity is Platfora Big Data Analytics Platform 3.0, a Hadoop-based business intelligence solution that lets users correlate event-driven data such as contact center records with raw HDFS data to better contextualize metrics. It also packs an object-based “data catalog” that structures information around customers, products and others points of interest.