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In previous article, I have mentioned Microsoft SQL Server Versions List and how to Download and Install SQL Server Management Studio (SSMS), but in this article, I have mentioned free SQL Server management studio (SSMS) alternatives for Mac, Windows or Linux as SSMS is great sql tool, but it is heavy and still not available for linux or mac.Table of Contents1. Azure Data Studio (Windows, Mac, Linux - Free)2. DBeaver (Windows, Mac, Linux - Free)3. SQuirreL SQL (Windows, Mac, Linux - Free)4. Valentina Studio (Windows, Mac, Linux - Free)5. Beekeeper studio (Windows, Mac, Linux - Free)6. Database .NET (Windows - Free)7. DbGate (Windows, Mac, Linux - Free)8. HeidiSQL (Windows - Free)1. Azure Data Studio (Windows, Mac, Linux - Free)Azure Data Studio (formerly SQL Operations Studio) is a free, light-weight tool, that runs on Windows, macOS, and Linux, for managing SQL Server, Azure SQL Database, and Azure SQL Data Warehouse; wherever they're running. It has the basic necessary function to handle what developer needs on working with SQL Server.It is a cross-platform database tool for data professionals using on-premises and cloud data platforms on Windows, macOS, and Linux.Features:Cross-platform, free and best SSMS alternative for mac,linuxSQL code editor with IntelliSenseSmart SQL code snippets (You can create your own custom SQL Snippets)Customizable Server and Database DashboardsIntegrated Terminal window right within the Azure Data Studio user interface.Extensibility and extension authoringThemes, including Dark Mode2. DBeaver (Windows, Mac, Linux - Free)DBeaver is a Universal Database Manager and SQL Client. DBeaver is a free and open-source (GPL) universal database tool for developers and database administrators.Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases.Features:Cross-platform, free, and open-source SSMS alternativeSupports all Major Databases like MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc.Various plugins are supported due to the JetBrains ecosystem.Support of Cloud data sourcesSQL And Data-EditorYou can also create charts in this SQL Editor.3. SQuirreL SQL (Windows, Mac, Linux - Free)SQuirreL SQL is an open-source Java SQL Client program that will allow you to view the structure of a JDBC-compliant database, browse the data in tables, issue SQL commands etc.Features:It is based on an open-source framework and allows the writing of various extensions (plugins).Auto-completion with ctrl+spacebarDetects misspelled columns and misspelled table namesYou can create charts from SQL ResultsBookmarks for your common queries4. Valentina Studio (Windows, Mac, Linux - Free)Valentina Studio is the universal tool for database architects, developers, DBAs and data workers to work with the most popular RDBMS including Valentina DB, MySQL, PostgreSQL, SQLite, and MS SQL Server.It has a Free edition and a Pro edition, but we will talk about the free edition only here.Features:Diagram Editor - design your new DB here then generate tables and other db objects from that diagram.Schema Editor - Manage multiple databases in tabs and dockable viewsServer Admin - where you can manage users, learn logs, and other parameters of servers.Valentina Reports - View Reports with parameters stored locally and registered on Valentina ServerData

You can use SQuirreL SQL to interface with the MapD Core Database.SQuirreL SQL client is a graphical Java program for performing common tasks such as viewing the structure of a JDBC-compliant database, browsing data in tables, and issuing SQL commands.For more information about SQuirreL SQL, see SQuirreL SQL¶Download the MapD JDBC Driver. You can find the MapD JDBC Driver in $MAPD_PATH/bin/mapdjdbc-1.0-SNAPSHOT-jar-with-dependencies.jar. Alternatively, you can download the latest JDBC driver from that Java is installed on your client:On Windows, navigate to Control Panel > Programs > Programs and Features.On OSX, navigate to System Preferences > Java and click About....Download SQuirreL SQLFollow the instructions on the SQuirreL SQL website to install SQuirreL SQL.Configuring SQuirreL SQL for the MapD JDBC Driver¶Configure the MapD Driver¶Open SQuirreL SQL.Click Drivers.Click + to add a new driver.Enter the Name for your driver. The name is an alias within SQuirreL for this driver.Enter the Example URL. For MapD, the required components are “jdbc”, “mapd”, a valid DNS name for a machine running MapD, the MapD port number, and the name of the MapD database. For example, jdbc:mapd:machine:9091:dbname. If you are not sure of these values, contact your system administrator.Enter the Website URL.Enter the Class Name: com.mapd.jdbc.MapDDriver.Click the Extra Class Path tab.Click Add and navigate to the directory where mapdjdbc-1.0-SNAPSHOT-jar-with-dependencies.jar is located.Click Open.Click OK.Configure the MapD Alias¶Click Aliases.Click + to add a new Alias.Give the Alias a Name.Choose MapD as the Driver.Update the example URL with the specific URL for your MapD instance.Enter your User Name and Password.(Optional) Set

Both ODBC and JDBC connections are supported by Amazon Redshift. To load data, Amazon Redshift supports a variety of Redshift SQL Clients, including ETL/ELT tools and business intelligence tools. Many Redshift SQL client developers are familiar with the tools for running queries and manipulating data. Redshift IDE offers a seamless environment for developers to query and analyze data within Amazon Redshift clusters.Most Redshift SQL client apps will function with Amazon Redshift. Because it is built on the industry-standard PostgreSQL. Standard JDBC or ODBC connections can be used to connect to Redshift by client applications. With Redshift client tools, developers can efficiently optimize queries and monitor performance within their Amazon Redshift environment.Many firms are launching tools for best SQL Client for Redshift using the ODBC or JDBC driver. In this article, we’ll look at some of the greatest Amazon Redshift SQL client tools and SQL editors available. Let’s get started!What are the Top Redshift SQL Clients?1) Redshift Query Editor2) SQL Workbench3) Coginity Pro (Free and Paid) SQL Editor4) Psql Command-Line Tool5) Squirrel SQL6) pgAdmin7) Postico8) RazorSQLConclusionWhat are the Top Redshift SQL Clients?Amazon Redshift data warehouses can be connected using SQL client tools over JDBC, Python, and ODBC connections. However, Amazon Redshift does not provide or install any SQL client tools. These tools or libraries must be installed on your client computer or Amazon EC2 instance to work with data in your data warehouses. Most SQL client tools that support JDBC, Python, or ODBC drivers can be used.Let’s look into the top redshift SQL clients.1) Redshift Query EditorThe Amazon Redshift console now allows you to write, run, and save queries. Running queries on databases hosted by your Amazon Redshift cluster is simplest when you use the query editor. You can execute queries right away after creating your cluster by using the query

Multiple Database Querying and Virtualization with SQuirreL SQL SQuirreL Multiple Source Virtualization Plugin The multiple source query plugin allows SQuirreL users to create a virtual data view that has multiple data sources on different servers and platforms and use SQL queries to join, compare, analyze, and move data between systems. Cross-database queries built in SQuirreL can be easily moved to any reporting or Java-based software allowing access to multiple databases simultaneously from outside SQuirreL. Business Challenges and Solutions Integrate - all your systems with no server changes Report & Analyze - across data systems Synchronize - between platforms Translate - SQL automatically for each system Benefits Why spend money on costly analytics software when you can get your query results easier? Why invest in costly server infrastructure when virtualization can be done in minutes at minimal cost? Why try to learn each SQL dialect when translation can be done automatically? Get Started Download SQuirreL. Install the open source multisource plugin from the SQuirreL installer or download it here. Installation and Getting Started Instructions Can your query software join data from five databases (Oracle, MySQL, SQL Server, PostgreSQL, MongoDB) with one query?SQuirreL with the multisource plugin allows distributed, federated, and virtualized SQL queries in seconds.

SQL history. Add functionality with the plugin API. RazorSQL 8.3.4 Database software developed by Richardson Software, LLC. The license of this database software is shareware$, the price is 99.95, you can free download and get a free trial before you buy a registration or license. Do not use illegal warez version, crack, serial numbers, registration codes, pirate key for this database software RazorSQL. If you want to get a full and unlimited version of RazorSQL, you should buy from original publisher Richardson Software, LLC. Adobe cloud crack. File Size: 59.31MB License: SharewarePrice: $99.95Richardson Software Razorsql 8 0 8 Download Free VersionRelated:Sql - Database - Query - Tool - Editor - Client - GUI - Front End - Database Navigator - Database BrowserDatabase Front End - Database Query Tool - Database Query - Query Database - Client Database - Database Browser - Sql Front End - Database Web Client - Sql Database - Database Editor - Platform: Win2000,Win7 x32,Win7 x64,Windows 8,WinServer,WinOther,WinVista,WinVista x64,WinXP,Windows 10 System Requirements: Windows Noiseless 1 3 0.Downloads: 436 Category: Development Database

Myself long time ago which is not eligible for publication. But a quick Google search came up with odbc-view, a freeware tool which does what you want.I downloaded and installed the tool.After starting the tool:Click on "DataSource...".Select your File Data Source which you created previously (e.g. "test").In the query pane type "select * from [filename.csv]".Click "Execute".You should see the contents of your .csv file in the lower pane now.Hope this helps... Let me know how you do or if you need further assistance. answered Jul 17, 2009 at 15:11 fretjefretje10.7k5 gold badges41 silver badges63 bronze badges 2 I found that the simplest way to achieve this is to just use the built-in CSV import functionality of SQLite:sqlite3 mydatabase.sqlitesqlite> .mode csvsqlite> .import mydata.csv Now you have a working database that you can query however you like. I also found the performance of the above to be good, I just imported three million rows in 10-15 seconds. answered Mar 19, 2015 at 8:54 1 I like using R to access csv files in a fast way.While the language isn't directly SQL you can do all those things with simple commands in R.R also provides you with the ability to make nice graphs and a lot of other power. answered Jul 19, 2009 at 22:16 ChristianChristian2,3346 gold badges38 silver badges55 bronze badges You can always read the file into Excel and use Excel as your data source via ODBC and run queries against it. answered Jul 17, 2009 at 15:01 2 I found a small, non-graphical app that does this: csvsql.Documentation is here. answered Jul 20, 2009 at 15:30 4 You can take a look at the free tool q - Text as a Database , which allows executing SQL directly on csv files, including joins, grouping and any other SQL construct. Also includes automatic detection of column names and column types.It's a command line tool which matches the Linux way of operation (e.g. Piping from stdin if needed, special flags for customizing behavior, etc.).Uses sqlite behind the scenes, so very light weight and easy to use. Full disclosure - It's my own open source tool. Hope you find it usefulHarel Ben-Attia answered Mar 15, 2014 at 12:28 1 The H2 JDBC driver provides a very useful csvread function, allowing you to do things like the following : select * from csvread(test1.csv) test1 inner join csvread(test2.csv2) test2on test1.id = test2.foreignkeyThere are various ways to make use of this driver without having to delve into writing code to use it. Personally, I prefer the Squirrel SQL Client which gives you a nice GUI for running queries in. To use it all you need to do is point the already listed H2 In-Memory Driver classpath