SQL Server

SQL Server

Microsoft
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About

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. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration.

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.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Developers and IT companies interested in a powerful managed service that supports automated provisioning of PostgreSQL, SQL, and MySQL relational databases. Part of the Google Cloud Platform

Audience

Any business and organization seeking a solution to manage their cloud operations

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free ($300 in free credits)
Pricing is Pay As You Go.

New customers get $300 in free credits to try Cloud SQL and other Google Cloud products.

All features included.

No automatic charges. You only start paying if you decide to activate a full, pay-as-you-go account or choose to prepay. You’ll keep any remaining free credit.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 4.5 / 5
ease 4.5 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 5

Pros from Real Users

Pros

  • Google Cloud SQL emerges as a powerful, fully-managed database service that simplifies the complexities of database management, establishing itself as a top choice for developers and businesses. The service excels in its ease of setup and ongoing maintenance, allowing users to deploy, manage, and effortlessly scale their databases. This not only saves time but also lets developers focus on what they do best: developing. The seamless integration with other Google Cloud services is a significant advantage, creating a synergistic environment that fosters productivity and innovation. Performance is a strong suit of Google Cloud SQL, offering impressive scalability to handle diverse workloads, suitable for small projects and extensive, demanding applications alike. In terms of security, it stands out with robust features like encryption and secure connections, meeting various compliance standards and providing a secure data environment.
  • A fully managed relational database service is offered by Google Cloud SQL. It takes care of regular database management duties like patch management, backups, and maintenance so developers can concentrate on creating applications.

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 Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Google
Founded: 1998
United States
cloud.google.com/sql

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/

Alternatives

Alternatives

InterBase

InterBase

Embarcadero
Apache HBase

Apache HBase

The Apache Software Foundation
Amazon RDS

Amazon RDS

Amazon
RaimaDB

RaimaDB

Raima

Categories

Database Supported

Google Cloud SQL is a fully-managed database service that simplifies the process of setting up, maintaining, and scaling databases in the cloud. It provides automated backups, patches, and performance optimizations, reducing the burden on database administrators. Users can easily manage their database workloads without worrying about hardware or software maintenance. Google Cloud SQL supports several database engines, including MySQL, PostgreSQL, and SQL Server. New customers also receive $300 in free credits to try Google Cloud SQL, allowing them to explore the service and assess its benefits for their business needs.

Google Cloud SQL is a fully-managed Database as a Service (DBaaS) that allows businesses to leverage the power of relational databases without the hassle of managing infrastructure. It provides automatic backups, updates, and scaling, ensuring a smooth and reliable experience for users. Google Cloud SQL’s DBaaS model helps organizations reduce operational overhead while ensuring high availability and performance. This solution supports multiple database engines such as MySQL, PostgreSQL, and SQL Server. New customers get $300 in free credits to try Google Cloud SQL, making it easy to assess the service's potential without any initial investment.

Google Cloud SQL is an advanced Database Management System (DBMS) that takes care of crucial tasks such as database provisioning, patching, scaling, and security updates. This fully-managed service eliminates the need for users to handle manual maintenance or database optimization, ensuring high performance and reliability. With Cloud SQL, businesses can run their database workloads with minimal downtime and maximum efficiency. It supports popular DBMS engines, including MySQL, PostgreSQL, and SQL Server, providing a flexible solution for diverse use cases. New customers receive $300 in free credits to explore the service and experience the ease of DBMS management in the cloud.

RDBMS Supported

Google Cloud SQL provides an ideal platform for running Relational Database Management Systems (RDBMS) in the cloud. It offers fully-managed MySQL, PostgreSQL, and SQL Server databases, taking care of database maintenance tasks like patching, backups, and scaling. This allows users to focus on building their applications instead of managing complex database operations. Cloud SQL ensures high availability and strong performance for relational databases with automatic replication and failover. Additionally, new customers receive $300 in free credits to explore Google Cloud SQL and evaluate its capabilities for their RDBMS needs.

Google Cloud SQL offers a managed service for running Relational Databases, allowing businesses to store and manage structured data using relational models. It provides high availability, automatic backups, and seamless scaling, ensuring that relational databases like MySQL, PostgreSQL, and SQL Server can perform optimally without manual intervention. Cloud SQL automates many tasks traditionally handled by database administrators, including patching and updating. With its ease of use and reliability, it’s an excellent choice for users looking for cloud-based relational databases. New customers can also take advantage of $300 in free credits to try Google Cloud SQL and see how it fits their relational database requirements.

SQL Databases Supported

Google Cloud SQL offers a fully-managed service for SQL databases, supporting MySQL, PostgreSQL, and SQL Server. It simplifies database administration by automating backup management, scaling, and security patches, allowing users to focus on their applications instead of infrastructure. With Google Cloud SQL, users can achieve high performance and reliability for SQL-based workloads with minimal effort. This service supports complex queries and data relationships, making it a great option for organizations that need robust SQL database solutions in the cloud. New customers also get $300 in free credits to explore and try Google Cloud SQL, helping them evaluate the service for their SQL database needs.

SQL Server Supported

Google Cloud SQL provides a fully-managed solution for running SQL Server databases in the cloud, offering an easy way to host and manage enterprise-grade SQL workloads. It takes care of critical tasks like automated backups, patches, and updates, ensuring a secure and high-performance environment for SQL Server databases. Cloud SQL also allows users to scale their SQL Server databases based on demand, offering flexibility without the need for manual management. It supports all versions of SQL Server, from standard to enterprise editions, providing a powerful and cost-effective solution. New customers receive $300 in free credits to explore SQL Server on Google Cloud SQL and see how it fits their needs.

Categories

Database Features

Backup and Recovery Supported
Creation / Development Supported
Data Migration Supported
Data Replication Supported
Data Search Supported
Data Security Supported
Database Conversion Supported
Mobile Access Supported
Monitoring Supported
NOSQL Supported
Performance Analysis Supported
Queries Supported
Relational Interface Supported
Virtualization 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 Not 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

RDBMS Features

Backup Supported
Data Migration Supported
Monitoring Supported
Performance Analysis Supported
Queries Supported
Storage Optimization 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

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

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

Integrations

Aqua Data Studio Supported
Coginiti Supported
CompareData Supported
Cyral Supported
Data Virtuality Supported
DataClarity Unlimited Analytics Supported
EverSQL Supported
Fullcast Supported
Google Cloud Datastream Supported
Gravity Data Supported
Helpware Supported
Integrate.io Supported
New Relic Supported
QueryPie Supported
SQL Supported
SQLyog Supported
Sprinkle Supported
Streamkap Supported
EaseUS MS SQL Recovery Not Supported
bipp Not Supported

Integrations

Aqua Data Studio Supported
Coginiti Supported
CompareData Supported
Cyral Supported
Data Virtuality Supported
DataClarity Unlimited Analytics Supported
EverSQL Supported
Fullcast Supported
Google Cloud Datastream Supported
Gravity Data Supported
Helpware Supported
Integrate.io Supported
New Relic Supported
QueryPie Supported
SQL Supported
SQLyog Supported
Sprinkle Supported
Streamkap Supported
EaseUS MS SQL Recovery Supported
bipp Supported
Claim SQL Server and update features and information
Claim SQL Server and update features and information