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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
                    PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.
                
            
        
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    APERIO DataWise
            
            
        
        
    
        
        
            
                
    Arroyo
            
            
        
        
    
        
        
            
                
    Autymate
            
            
        
        
    
        
        
            
                
    Blotout
            
            
        
        
    
        
        
            
                
    Data Sentinel
            
            
        
        
    
        
        
            
                
    Gable
            
            
        
        
    
        
        
            
                
    Gravity Data
            
            
        
        
    
        
        
            
                
    Indexima Data Hub
            
            
        
        
    
        
        
            
                
    MLJAR Studio
            
            
        
        
    
        
        
            
                
    Mage Platform
            
            
        
        
    
                
                    
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
                
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                Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
parquet.apache.org
Vendor Details
Company Name
PostgreSQL Global Development Group
Country
United States
Website
www.postgresql.org
Product Features
Product Features
Relational Database
                                        ACID Compliance
                                        
                                    
                                    
                                    
                                        Data Failure Recovery
                                        
                                    
                                    
                                    
                                        Multi-Platform
                                        
                                    
                                    
                                    
                                        Referential Integrity
                                        
                                    
                                    
                                    
                                        SQL DDL Support
                                        
                                    
                                    
                                    
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                                        System Catalog
                                        
                                    
                                    
                                    
                                        Unicode Support