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Open-source alternatives to Mssql Cli
30 open-source projects similar to dbcli/mssql-cli, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Mssql Cli alternative.
- laixintao/iredis
laixintao/iredis
2,741在 GitHub 上查看Interactive Redis: A Terminal Client for Redis with AutoCompletion and Syntax Highlighting.
Pythoncommand-line-toolredisredis-cli - dbcli/mycli
dbcli/mycli
11,932在 GitHub 上查看mycli is a MySQL command line client, database administration tool, and SQL query editor. It functions as a terminal interface for executing queries and managing MySQL connections, incorporating an integrated assistant that uses large language models to generate and analyze SQL statements based on the current database schema. The tool provides specialized query authoring capabilities, including context-sensitive syntax suggestions, fuzzy-matching identifier completion for tables and columns, and the ability to handover query buffers to external system text editors. It distinguishes its connec
Pythonauto-completiondatabasemycli - xo/usql
xo/usql
10,014在 GitHub 上查看usql is a universal SQL command-line interface used to connect to and manage multiple SQL and NoSQL databases through a single unified tool. It provides a standardized interface for executing queries across various data stores and serves as a multi-database query tool and schema inspector. The tool distinguishes itself by enabling cross-database data migration, allowing users to pipe result sets from one active database connection directly into another. It also features terminal-based data visualization, which renders query results as graphical charts, graphs, and images directly within the t
Gocommand-linedatabasego - dbcli/pgcli
dbcli/pgcli
13,231在 GitHub 上查看pgcli is an interactive command-line interface and database management tool for PostgreSQL. It functions as an interactive SQL shell and query editor that allows users to inspect schemas, manage connections, and run queries against PostgreSQL data sources. The tool is distinguished by its real-time, schema-aware autocompletion for keywords, tables, and columns, as well as dynamic SQL syntax highlighting. It provides safety mechanisms through transaction-aware guardrails that warn against or block destructive statements when no active transaction is detected. Broad capabilities include secure
Pythondatabasepostgrespostgresql
