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
May 8, 2024
- Neo4j Empowers Syracuse University with $250K Grant to Tackle Misinformation in 2024 Elections
- Cloudera Unveils New Flow Management and Streaming Operators at Red Hat Summit
- DataForge Open-Sources First Functional Data Programming Framework
May 7, 2024
- Datadog Launches IT Event Management to Enhance AIOps Capabilities
- Panasas Rebrands as VDURA: A New Chapter in Software-Defined Storage for AI Applications
- Niobium Secures $5.5M in Venture Financing to Commercialize FHE Accelerator Chip
- Oracle Code Assist Can Help Developers Build Applications Faster with AI
- Redpanda 24.1 Launches with New Write Caching Capabilities for 98% Improved Latency
- Persistent Transforms Enterprise Data Management with iAURA, a Portfolio of AI-Powered Data Solutions
- BigID Launches Industry-First Hybrid Scanning for Cloud Native Workloads
May 6, 2024
- Cisco and Splunk Integrate XDR and Enterprise Security for Advanced Threat Protection
- Normalyze Innovates to Secure LLMs and Data Lakes Against Emerging Threats
- Couchbase Survey Finds Enterprises Plan Massive Spend on AI, with Over $21M Allocated in 2023-24
- Elastic Enhances Security Operations with AI-Assisted Attack Discovery and Analysis
- UCSD Researchers Develop New Framework to Curb Undesirable AI Outputs
May 3, 2024
- IDC: Structured Database Workloads Drive Major IT Infrastructure Spending in Late 2023
- Oracle Database 23ai Brings the Power of AI to Enterprise Data and Applications
- Solodev Debuts Advanced AI Services to Boost Cloud-Based App Development
- Sigma Announces AI Toolkit for Business and Launches Sigma Actions to Support Custom Data Applications
- New Salesforce White Paper Tackles LLM Security Risks
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
-
Get your Data AI Ready – Celebrate One Year of Deep Dish Data Virtual Series!
-
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
-
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
CDAO Canada Public Sector 2024
June 18 - June 19 -
AI Hardware & Edge AI Summit Europe
June 18 - June 19London United Kingdom -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States -
CDAO Government 2024
September 18 - September 19Washington DC United States