SQL Server vs. SQL Workbench Comparison


SQL Server Microsoft	SQL Workbench	+	+
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It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. 12 Ratings Visit Website Google Cloud SQL Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. 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About Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.	About SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool. It is written in Java and should run on any operating system that provides a Java Runtime Environment. Its main focus is on running SQL scripts (either interactively or as a batch) and export/import features. Graphical query building or more advanced DBA tasks are not the focus and are not planned. Powerful export command to write text files (aka "CSV"), XML, HTML or SQL (including BLOB data). All user tables can be exported into a directory with a single command. Export files can be compressed "on-the-fly". Powerful text, XML and spreadsheet import. A set of files (including compressed files) can be imported from a directory with a single command. Foreign key constraints are detected to insert the data in the correct order. Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.
Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Any business and organization seeking a solution to manage their cloud operations	Audience Enterprises interested in a SQL query tool to run SQL scripts and export/import features
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 4.5 / 5 ease 4.5 / 5 features 4.5 / 5 design 5.0 / 5 support 4.5 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros SQL server offers enough security to be able to perform reliable transactions, where you can work with all kinds of procedures previously saved for SQL. In terms of relational databases, SQL server allows the inclusion of relational data licenses within multidimensional groups, which at the level of analysis makes things much easier. Recommended because you can work with up to 6 different types of licenses, so the number of clients that can be added to the platform is huge depending on the size of the company. For example, the Enterprise plan is usually around 25,000, but offers a very large number of servers to work with. The interoperability that Microsoft SQL server brings serves to create a complete network in which databases are properly secured and at the same time can be edited by specific employees. Microsoft SQL server provides the user with the possibility of transporting large amounts of data of different types through the cloud. Our professional recommendation is that, if you choose to work with Microsoft SQL server, you should purchase the standard version, since it has all the features of software such as MySQL and Sybase ASE in terms of support for procedures and work in server mode, which would be enough to obtain promising results. Cons When working with pages simultaneously, there is a limit on the number of connections that can be carried out, and it has many restrictions that end up affecting the page editing level. For example, the size of the pages is impossible to edit, which leads to a somewhat poor view of the page in terms of size (it looks very small), as well as remaining static. The Microsoft SQL server platform does not support the ability to manage Canvas scripts directly from the development data lists being used (specifically HTML) so adding Canvas code to that language is useless if the content is to be transported through Microsoft SQL server. The variety of DDL commands that Microsoft SQL server allows to implement is a bit small, which ends up limiting the work to only using DML commands.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States www.microsoft.com/en-us/sql-server/	Company Information SQL Workbench Founded: 2020 www.sql-workbench.eu/
Alternatives Teradata VantageCloud Teradata	Alternatives MySQL Workbench Oracle
Amazon Aurora Amazon	phpMyAdmin
Apache HBase The Apache Software Foundation	Postbird Paxa
SingleStore	RazorSQL
RaimaDB Raima View All	HeidiSQL View All
Categories Business Intelligence Supported Database Supported Database Management Systems (DBMS) Supported In-Memory Databases Supported Relational Database Supported SQL Databases Supported SQL Server Supported	Categories Database Supported Database Clients Supported PostgreSQL GUI Clients Supported
Database Features Backup and Recovery Supported Creation / Development Supported Data Migration Not Supported Data Replication Not Supported Data Search Not Supported Data Security Supported Database Conversion Not Supported Mobile Access Supported Monitoring Not Supported NOSQL Supported Performance Analysis Not Supported Queries Not Supported Relational Interface Not Supported Virtualization Not Supported Show More Features Business Intelligence Features Ad Hoc Reports Supported Benchmarking Supported Budgeting & Forecasting Supported Dashboard Not Supported Data Analysis Supported Key Performance Indicators Not Supported Natural Language Generation (NLG) Not Supported Performance Metrics Supported Predictive Analytics Not Supported Profitability Analysis Not Supported Strategic Planning Not Supported Trend / Problem Indicators Not Supported Visual Analytics Not Supported Relational Database Features ACID Compliance Supported Data Failure Recovery Supported Multi-Platform Supported Referential Integrity Supported SQL DDL Support Supported SQL DML Support Supported System Catalog Supported Unicode Support Supported SQL Server Features CPU Monitoring Supported Credential Management Supported Database Servers Supported Deployment Testing Supported Docker Compatible Containers Supported Event Logs Supported History Tracking Supported Patch Management Supported Scheduling Supported Supports Database Clones Supported User Activity Monitoring Supported Virtual Machine Monitoring Supported
Integrations QueryPie Supported Athenic AI Supported Azure Hybrid Benefit Supported Bold BI Supported BuyBack Pro SQL Supported CipherTrust Tokenization Supported DataGate Supported Five Supported Hevo Supported INTEGRA ERP Software Supported Intellrise Supported Messagenius Supported NetVault Plus Supported Recovery Toolbox Supported SQL Query Tuner Supported TablePlus Supported WOLFCOM Evidence Management System Supported dbForge Data Generator for SQL Server Supported phpMyFAQ Supported Show More Integrations View All 886 Integrations	Integrations QueryPie Supported Athenic AI Not Supported Azure Hybrid Benefit Not Supported Bold BI Not Supported BuyBack Pro SQL Not Supported CipherTrust Tokenization Not Supported DataGate Not Supported Five Not Supported Hevo Not Supported INTEGRA ERP Software Not Supported Intellrise Not Supported Messagenius Not Supported NetVault Plus Not Supported Recovery Toolbox Not Supported SQL Query Tuner Not Supported TablePlus Not Supported WOLFCOM Evidence Management System Not Supported dbForge Data Generator for SQL Server Not Supported phpMyFAQ Not Supported Show More Integrations View All 1 Integration
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