Apache Phoenix

Zarządzanie bazami danych i DBaaS

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This software enables real-time online transaction processing (OLTP) and operational analytics within distributed big data frameworks by combining standard SQL and JDBC APIs with ACID transaction support, using scalable NoSQL storage systems. Its main features include extensive SQL query support, schema management with versioning, transactional guarantees, secondary indexing, various storage formats, multi-tenancy, bulk loading, integration with big data tools like Spark and Hive, and performance optimization through advanced indexing and partitioning, solving complex data consistency and low-latency query challenges for enterprise users and data engineers working on high-volume, low-latency data applications. It is designed for data architects, database administrators, data engineers, and developers seeking scalable, reliable, and efficient solutions for operational analytics and transaction management.

Apache Phoenix można znaleźć w Database Management & DBaaS kategorie.

Produkty najbardziej podobne do Apache Phoenix to:

RogueDB Zweryfikowany profil Lansowany → YDB → SingleStore → RegattaDB → TiDB →

Zrzuty ekranu

Filmy na YouTube

Bliższe dane

Apache Phoenix Główne cechy

• Table Types
  Create new tables from scratch or map to existing HBase tables, and create read-only views for data transfer.
• Fast SQL Queries
  Apache Phoenix converts SQL queries into HBase scans to give quick results for small and large data.
• Schema Alteration
  Change table settings or add columns, with configurable frequency for metadata updates.
• Schema Management
  Create, modify, and version tables easily with SQL commands, supporting snapshots and versioned data.
• Timestamps Control
  Applications can control timestamps for data versioning or run historical queries, except in transactional tables.
• Connection to HBase
  Use JDBC connections to connect Phoenix to HBase clusters with optional security features.
• HBase Compatibility
  Phoenix works with HBase to store data and supports schema changes and table management.
• Performance Features
  Use coprocessors and filters to improve query speed and handle big data efficiently.
• SQL Language Support
  All common SQL commands like SELECT, INSERT, UPDATE, DELETE, and table creation are supported.
• Storage and Indexing
  Use storage formats, secondary indexes, and salted tables for faster data access and scalability.
• Zookeeper Connection
  Phoenix connects to HBase through Zookeeper by default, but also supports direct connections without Zookeeper.
• Operational Analytics
  Designed to support both transaction processing (OLTP) and big data analytics in Hadoop.
• Transactional Support
  It offers full ACID transactions, so data saves correctly and consistently even during multiple updates.
• Full ACID Transactions
  Transactions can include multiple tables and rows, ensuring all-or-nothing data changes with conflict detection.
• Data Types and Functions
  Support for various data types, functions, joins, subqueries, and explain plans for query analysis.

Odznaki

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