请访问原文链接：https://sysin.org/blog/dbeaver-23/，查看最新版。原创作品，转载请保留出处。

作者主页：www.sysin.org

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通用数据库工具

DBeaver 是一个通用的数据库管理工具，适用于需要以专业方式处理数据的每个人。使用 DBeaver，您可以像在常规电子表格中一样处理数据，根据来自不同数据存储的记录创建分析报告，以适当的格式导出信息 (sysin)。对于高级数据库用户，DBeaver 建议使用强大的 SQL 编辑器、大量管理功能、数据和模式迁移能力、监控数据库连接会话等等。开箱即用的 DBeaver 支持 80 多个数据库。

支持的数据库

Relational | Analytics | Document-Oriented | Cloud | Hadoop | Key/Value | Time Series | Graph | Search engines | Embedded

• Relational
  • MySQL
    The most popular open-source relational database. Now supported by Oracle.
  • MariaDB
    Fork of MySQL, bundled on many Linux systems as default MySQL engine
  • PostgreSQL
    The most powerful open-source relational database.
  • Microsoft SQL Server
    Enterprise-level relational database developed by Microsoft.
  • Oracle
    Oracle database (Express or Enterprise) is one of the most advanced relational databases.
  • DB2
    Enterprise-level relational database developed by IBM (sysin). Supported drivers are: DB2 for LUW (Linux/Unix/Windows), DB2 for z/OS, DB2 for iSeries / AS400
  • SAP® MaxDB®
    DBeaver is designed for use with SAP® MaxDB®
  • Informix
    Secure embeddable database, developed by IBM. Optimized for OLTP and IoT
  • Sybase®/SAP® ASE
    DBeaver is designed for use with SAP® ASE (Adaptive Server Enterprise), originally known as Sybase SQL Server, and also commonly known as Sybase DB or ASE, – a relational model database server product for businesses
  • Mimer SQL
    Scalable and embedded database solutions conforming to ISO standards and suited for open environments
  • InterSystems Caché
    Multipurpose relational and object-oriented DBMS
  • Firebird
    Open source cross platform SQL relational database
  • Ingres
    Open-source SQL relational database management system intended to support large commercial and government applications
  • Yellowbrick
    Unveils Integrated Data Warehouse Platform
  • Linter
    DBMS developed by the Russian company RELEX, certified by the Russian FSTEC and Ministry of Defense and providing solid security of information
  • Yugabyte DB SQL
    Distributed SQL database for global, internet-scale applications with low query latency, extreme resilience against failures.
  • Virtuoso
    Hybrid database engine that combines the functionality of a traditional RDBMS, object-relational database (ORDBMS), virtual database, RDF and XML database
  • CUBRID
    Open source SQL-based relational database management system with object extensions
• Analytics
  • Greenplum
    Massively parallel processing database based on PostgreSQL.
  • Exasol
    Enterprise-level in-memory analytics database
  • Vertica
    Relational analytics database widely used in BigData applications
  • Teradata
    Enterprise-level analytics database
  • SAP® HANA®
    DBeaver is designed for use with SAP HANA®.
  • Netezza
    IBM data warehouse analytics database
  • PrestoDB
    Distributed SQL Query Engine for Big Data
  • ClickHouse
    Open-source distributed column-oriented DBMS
• Document-oriented
  • MongoDB
    Free and open-source cross-platform document-oriented database
  • Couchbase
    Couchbase is an open-source, distributed multi-model NoSQL document-oriented database software that is optimized for interactive applications.
• Cloud
  • AWS Athena
    Interactive query service that makes it easy to analyze data in Amazon S3, using standard SQL
  • AWS Redshift
    Fully managed, petabyte-scale data warehouse service in the cloud
  • AWS DynamoDB
    Key-value and document database that can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second.
  • AWS Aurora
    MySQL and PostgreSQL-compatible relational database built for the cloud.
  • AWS DocumentDB
    Fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
  • AWS Keyspaces
    A scalable, highly available, and managed Apache Cassandra–compatible database service.
  • Google Bigtable
    A petabyte-scale, fully managed NoSQL database service for large analytical and operational workloads.
  • Google BigQuery
    Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance.
  • SQL Azure
    Managed cloud database (SaaS) provided as part of Microsoft Azure.
  • Snowflake
    Cloud data warehouse
  • NuoDB
    Elastic SQL cloud database
• Big Data / Hadoop
  • Apache Hive
    Data warehouse software that facilitates reading, writing, and managing large datasets residing in distributed storage using SQL
  • Spark Hive
    Spark JDBC driver for Apache Hive
  • Apache Drill
    Open-source version of Google’s Dremel system that is available as an infrastructure service called Google BigQuery
  • Apache Phoenix
    Apache Phoenix HBase database
  • Apache Impala
    Open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. Impala has been described as the open-source equivalent of Google F1
  • Gemfire XD
    Memory-optimized, distributed data store designed for applications that have demanding scalability and availability requirements
  • CockroachDB
    The SQL database for building global, scalable cloud services that survive disasters.
  • SnappyData
    In-memory data platform for mixed workload applications. Built on Apache Spark
• Key Value
  • Apache Cassandra
    A free and open-source, distributed, wide column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure
  • Redis
    An open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.
  • Yugabyte DB CQL
• Time Series
  • TimescaleDB
    Open-source time-series database
  • InfluxDB
    The platform for time-series data
• Graph
  • Neo4j
    Graph database management system
  • OrientDB
    Distributed Multi-Model and Graph Database
• Search engines
  • Elasticsearch
    Distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
  • Solr
    Open source enterprise search platform. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling.
• Embedded
  • SQLite
    Popular embedded database widely used in desktop and mobile (Android) applications
  • HSQLDB
    Embedded database, written on Java and used as database engine in Open Office products.
  • H2
    Embedded database, written on Java. Supports standalone server mode.
  • Apache Derby / Java DB
    Embedded database, written on Java. Supports standalone server mode.
  • Microsoft Access
    JDBC driver for embedded Microsoft Access database (mdb)
  • CSV
    JDBC driver for flat CSV (comma separated) files
  • DBF
    The .dbf file extension represents the dBase database file

版本比较

DBeaver Community 免费下载

DBeaver 23.0 新增功能

DBeaver 23.0

March 13 2023

• Database drivers:
  • A new ODBC driver was added
• ChatGPT:
  • OpenAI (ChatGPT) integration was implemented out-of-the-box in PRO versions
• Cloud Explorer:
  • Azure Cloud support was added
  • PostgreSQL and MySQL support was added in Azure Cloud
• Accessibility:
  • The text reader for the entity editor was improved
  • The text reader for the data grid was improved
  • Font settings are now respected in all editors/popups
  • Many new keyboard shortcuts were added
  • The catalog/schema selector now supports keyboard-only mode
  • Reader texts were localized
• Data Editor:
  • A few elements and behavior in Data Editor were redesigned
  • The issues with filtering and ordering data were fixed
  • The context menu was improved
• SQL Editor:
  • Query generation from human language text was added
  • Query execution plain was improved
  • Auto-completion issues were fixed
• Data transfer:
  • Data export to Google Sheets and Google Drive was added
  • Data export in SQL INSERT format now supports custom target table name configuration
• Databases:
  • PostgreSQL: The ability to create a full backup and SSL keys automatic conversion was added
  • SQL Server: VARCHAR(MAX) data type support and table column comments support were added
  • MongoDB: issues with running db.runCommand, JSON view and boolean values display were fixed
  • Teradata: mutiple issues were resolved including secure zones support and kerberos authentication
  • Snowflake: Schema Compare and Table constraints reading issues were fixed
  • Redshift: The issue with access to Redshift Datashare was resolved

下载地址

MacOS DMG – just run it and drag-n-drop DBeaver into Applications.
Debian package – run sudo dpkg -i dbeaver-<version>.deb. Then execute “dbeaver &”.
RPM package – run sudo rpm -ivh dbeaver-<version>.rpm. Then execute “dbeaver &”. Note: to upgrade use “-Uvh” parameter.
ZIP archive – extract archive and run “dbeaver” executable. Do not extract archive over previous version (remove previous version before install).
Windows installer – run installer executable. It will automatically upgrade version (if needed).

DBeaver Ultimate Edtion 23.0 Multilingual (macOS, Linux, Windows), 13th March 2023
百度网盘链接：https://sysin.org/blog/dbeaver-23/

for macOS：DBeaver Ultimate Edtion 23 for macOS Intel x64 & Apple ARM64 (sysin)

for Linux：DBeaver Ultimate Edtion 23 for Linux deb (sysin)