Cloud-based big data provider Pivotal Software and Hortonworks announced the addition of a key component of Pivotal’s Big Data Suite to the Hortonworks’ Hadoop platform.
The partners said this week customers investing in Hortonworks’ Data Platform could now run version 1.3 of Pivotal’s HAWQ, an advanced SQL-on-Hadoop engine. The deal expands on Pivotal’s previously announced plans to partner with Hortonworks on enterprise data management and analytics.
The deal also marks the first time HAWQ features have been released outside of Pivotal as it implements an Open Data Platform initiative to leverage technologies like Hadoop across different providers. HAWQ was originally developed from Pivotal’s Greenplum Database before it was extended to handle Apache Hadoop workloads.
With its Hortonworks Data Platform certification, Pivotal added that HAWQ now offers full SQL compliance for analytical workloads while addressing enterprise analytics needs beyond the traditional Hadoop stack.
The Hortonworks data platform is designed to enable a centralized architecture for running batch, interactive and real-time analytics and data processing applications simultaneously across shared datasets. The platform is built on Apache Hadoop and powered by YARN. It is also supported by shared services.
San Francisco-based Pivotal also said collaboration with Hortonworks on HAWQ provides deeper integration with the Apache Hadoop ecosystem while adding new management support for Apache Ambari. Taking advantage of Apache Ambari’s means HAWQ can also be managed alongside other elements of the Hortonworks Data Platform, observers noted.
Pivotal added that HAWQ appears like a Hadoop service inside of Apache Ambari. “This enables Apache Ambari to manage the complete solution consisting of Hadoop components and HAWQ using one portal and interface,” the company noted in a blog post.
The latest release of HAWQ “is about minimizing the burdens of integration, configuration and management of the big data stack so that enterprises can focus on solving the business problem at hand as opposed to the integration problem at hand,” Pivotal added.
Along with added support for Apache Ambari, Pivotal HAWQ moves away from a proprietary management and configuration framework to an open source, Hadoop-native environment. Pivotal claimed that would reduce the total cost of ownership in managing the Hadoop stack, including Pivotal HAWQ.
Ultimately, the partnership brings Pivotal HAWQ “closer to a common Hadoop core,” Sundeep Madra, vice president of Pivotal’s Data Product Group, said in a statement.
“The certification of Pivotal HAWQ on [Hortonworks Data Platform] gives our customers enterprise-grade maturity in SQL-based analytics,” added John Kreisa, Hortonworks’ vice president of strategic marketing.
Pivotal said HAWQ could be deployed on the Hortonworks Data Platform by purchasing Pivotal Big Data Suite flex licenses from Pivotal and licensing the data platform from Hortonworks. Pivotal said it would continue to support HAWQ on its own Hadoop distribution through a Big Data Suite license.
Recent items:
Hortonworks Hatches a Roadmap to Improve Apache Spark
Apache Spark Gets YARN Approval From Hortonworks
March 18, 2024
- Snowflake Partners with NVIDIA to Deliver Full-Stack AI Platform for Customers
- HPE Debuts End-to-End AI-Native Portfolio for Generative AI
- NetApp Partners with NVIDIA to Transform Generative AI with Advanced Data Retrieval Tech
- Pure Storage Accelerates Enterprise AI Adoption to Meet Growing Demands with NVIDIA AI
- OpenText Announces OpenText World Europe 2024: A Gathering of Global Minds in London, Munich, and Paris
- Machine Learning Summit 2024 Kicks Off Shanghai Leg
- Algolia Ecommerce Report: AI-Driven Search Experiences Go Mainstream, Supercharge Revenue Generation
- SQream Demonstrates Next-Level AI and ML Data Processing Capabilities at NVIDIA GTC
- Voltron Data Advances Theseus, Making It the First Petabyte Scale Query Engine for Large Scale Data Processing
- Cisco Completes Acquisition of Splunk
March 14, 2024
- InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
- Starfish Storage Celebrates a Decade of Leadership in Metadata-Driven Unstructured Data Management
- StreamNative Simplifies Data Streaming with New Apache Kafka Offering
- Airbyte Announces Industry-Leading 5,000 Data Connectors Built with No-Code Builder
- Microsoft and Oracle Expand Partnership to Satisfy Global Demand for Oracle Database@Azure
- Three-Quarters of Organizations Have Reached High Levels of AI Maturity, LXT Survey Finds
- Yugabyte Achieves PCI DSS Level 1 Compliance, Validating Secure and Scalable Distributed PostgreSQL for Financial Institutes
- Data product management pioneer Mindfuel closes €3.75m seed funding to launch across Europe
March 13, 2024
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
Memory Con 2024
March 26 - March 27Mountain View CA United States -
Data Universe
April 10 - April 11New York United States -
Call & Contact Center Expo
April 24 - April 25Las Vegas NV United States -
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States