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Description
Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.
Description
Vertica is a high-performance enterprise analytics and data warehousing platform that enables organizations to process large-scale data workloads, advanced analytics, and AI applications across cloud, on-premises, and hybrid infrastructures. Acquired by Rocket Software, Vertica expands Rocket’s modernization portfolio by adding enterprise-grade analytics and artificial intelligence capabilities to mission-critical systems modernization. The platform is designed to help enterprises unlock the value of their data through fast query performance, scalable analytics, and AI-driven insights that support modern business operations and digital transformation initiatives. Vertica supports flexible deployment models including private cloud, public cloud, managed services, and on-premises environments, allowing organizations to modernize data infrastructure without being restricted to a single deployment strategy. The platform enables businesses to run advanced analytics and generative AI directly against trusted enterprise data while maintaining stability, governance, and operational performance. Vertica also complements Rocket Software’s DataEdge and ContentEdge solutions by creating a unified ecosystem for enterprise data integration, modernization, governance, and analytics. Organizations use Vertica to accelerate reporting, improve operational intelligence, optimize enterprise workloads, and drive faster data-driven decision-making across large-scale business environments. The platform is designed for enterprises that require scalable analytics, hybrid cloud flexibility, and AI-ready infrastructure for mission-critical systems modernization.
API Access
Has API
API Access
Has API
Integrations
Gravity Data
Hadoop
Visplore
APERIO DataWise
Denodo
Domo
DronaHQ
Gable
IBM Db2 Event Store
Indexima Data Hub
Integrations
Gravity Data
Hadoop
Visplore
APERIO DataWise
Denodo
Domo
DronaHQ
Gable
IBM Db2 Event Store
Indexima Data Hub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
parquet.apache.org
Vendor Details
Company Name
Rocket Software
Founded
1990
Country
United States
Website
rocketsoftware.com
Product Features
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
