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.
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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.
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
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Audience
Developers searching for a Database Management platform
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Audience
Developers interested in a language for building maintainable programs
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Audience
Databes developers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free ($300 in free credits)
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$229.95
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/sql
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Company InformationMongoose
United States
mongoosejs.com
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Company InformationV Programming Language
United States
vlang.io
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Company InformationDevart
Founded: 1997
United States of America
devart.com
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CategoriesGoogle 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 |
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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
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Integrations
Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
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Integrations
Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
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Integrations
Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
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Integrations
Acra
CompareData
Cyral
Firebase
Gemini 2.0 Flash
GitLab Duo
Google Cloud Platform
Google Kubernetes Engine (GKE)
Health Studio
Helix Editor
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