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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

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments.

About

Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.

About

dbForge Studio for SQL Server is a comprehensive platform with an intuitive graphical user interface and robust functionality that enables users to handle a variety of database-related tasks both on-premises and in the cloud. Key Features: SQL Coding Assistance AI Assistant Integration Source Control Index Manager Unit Test Table Designer Database Designer T-SQL Debugger Query Profiler Schema Compare Data Compare Data Generator Documenter Query Builder Data Export and Data Import Database Administration Server Event Profiler Data Editor SQL Server Reporting Master-Detail Browser Pivot Table Copy Database Monitor Find Invalid Objects DevOps Automation Optimized system resources consumption when preparing the Quick Info and Code Completion hints Support for macOS & Linux via CrossOver You can always find the latest version of the product on the official Devart website.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Developers searching for a Database Management platform

Audience

Developers interested in a language for building maintainable programs

Audience

Databes developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free ($300 in free credits)
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$229.95
Free Version
Free Trial

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 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Mongoose
United States
mongoosejs.com

Company Information

V Programming Language
United States
vlang.io

Company Information

Devart
Founded: 1997
United States of America
devart.com

Alternatives

Alternatives

Alternatives

Alternatives

Swift

Swift

Apple
InterBase

InterBase

Embarcadero
Moon Modeler

Moon Modeler

Ideamerit
Amazon RDS

Amazon RDS

Amazon
Zig

Zig

Zig Software Foundation

Categories

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.

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.

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.

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

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

RDBMS Features

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Server Features

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Integrations

Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
InDriver
Ionic Machina
JavaScript
Lapce
Observe
PostgreSQL
Procyon
SQL Server
Streamkap
dbForge AI Assistant

Integrations

Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
InDriver
Ionic Machina
JavaScript
Lapce
Observe
PostgreSQL
Procyon
SQL Server
Streamkap
dbForge AI Assistant

Integrations

Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
InDriver
Ionic Machina
JavaScript
Lapce
Observe
PostgreSQL
Procyon
SQL Server
Streamkap
dbForge AI Assistant

Integrations

Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
InDriver
Ionic Machina
JavaScript
Lapce
Observe
PostgreSQL
Procyon
SQL Server
Streamkap
dbForge AI Assistant
Claim Mongoose and update features and information
Claim Mongoose and update features and information
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Claim V Programming Language and update features and information
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