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Average Ratings 5 Ratings

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Description

Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes. Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.

Description

Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.

Description

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

API Access

Has API

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Screenshots View All

Integrations

New Relic
Acra
Coginiti
CompareData
Cyral
DbVisualizer
FreeRTOS
Google Cloud Platform
Google Kubernetes Engine (GKE)
Gravity Data
InDriver
Opal
Pelanor
QueryPie
SQL
Streamkap
SymmetricDS
Tengu
VxWorks
Zoho DataPrep

Integrations

New Relic
Acra
Coginiti
CompareData
Cyral
DbVisualizer
FreeRTOS
Google Cloud Platform
Google Kubernetes Engine (GKE)
Gravity Data
InDriver
Opal
Pelanor
QueryPie
SQL
Streamkap
SymmetricDS
Tengu
VxWorks
Zoho DataPrep

Integrations

New Relic
Acra
Coginiti
CompareData
Cyral
DbVisualizer
FreeRTOS
Google Cloud Platform
Google Kubernetes Engine (GKE)
Gravity Data
InDriver
Opal
Pelanor
QueryPie
SQL
Streamkap
SymmetricDS
Tengu
VxWorks
Zoho DataPrep

Pricing Details

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/sql

Vendor Details

Company Name

H2

Website

www.h2database.com/html/main.html

Vendor Details

Company Name

Raima

Founded

1984

Country

United States

Website

raima.com

Product Features

Database

Google Cloud SQL offers a comprehensive, fully-managed database solution designed to streamline the establishment, upkeep, and expansion of databases within the cloud environment. This service automates crucial tasks such as backups, updates, and performance enhancements, alleviating the responsibilities of database administrators. Users can efficiently oversee their database operations without the hassle of managing hardware or software. The platform supports multiple database engines, including MySQL, PostgreSQL, and SQL Server. Additionally, new users are granted $300 in complimentary credits to experience Google Cloud SQL, enabling them to investigate the service and evaluate its advantages for their business requirements.

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

Database as a Service (DBaaS)

Google Cloud SQL offers a fully-managed Database as a Service (DBaaS) that enables organizations to harness the capabilities of relational databases without the burden of infrastructure management. This service comes with features like automated backups, updates, and scalability, guaranteeing a seamless and dependable user experience. By employing the DBaaS model, Google Cloud SQL helps businesses minimize operational costs while maintaining high performance and availability. It supports various database engines, including MySQL, PostgreSQL, and SQL Server. Additionally, new users can take advantage of $300 in complimentary credits to explore Google Cloud SQL, allowing them to evaluate the service's features without any upfront costs.

Database Management Systems (DBMS)

Google Cloud SQL is a sophisticated Database Management System (DBMS) designed to automate essential functions like database provisioning, patching, scaling, and security enhancements. This fully-managed platform frees users from the burdens of manual maintenance and database optimization, guaranteeing optimal performance and dependability. By utilizing Cloud SQL, organizations can execute their database tasks with minimal downtime and peak efficiency. It accommodates widely-used DBMS engines such as MySQL, PostgreSQL, and SQL Server, making it a versatile option for a variety of applications. New users are welcomed with $300 in complimentary credits, allowing them to experiment with the service and discover the convenience of cloud-based DBMS management.

RDBMS

Google Cloud SQL serves as an excellent solution for hosting Relational Database Management Systems (RDBMS) in a cloud environment. It provides fully managed databases for MySQL, PostgreSQL, and SQL Server, handling essential maintenance responsibilities such as updates, backups, and scaling. This allows developers to concentrate on application development without the burden of intricate database management tasks. Cloud SQL guarantees robust performance and high availability for relational databases through automatic replication and failover mechanisms. Furthermore, new users are granted $300 in free credits to experiment with Google Cloud SQL and assess its functionalities for their RDBMS requirements.

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

Google Cloud SQL is a fully managed service designed for operating relational databases, enabling organizations to efficiently store and manage structured data through relational frameworks. It ensures high availability and offers automatic backups along with effortless scaling, allowing databases such as MySQL, PostgreSQL, and SQL Server to run at peak performance without requiring manual oversight. The service automates numerous tasks that would typically be performed by database administrators, such as applying patches and updates. With its user-friendly interface and dependable performance, Google Cloud SQL is an ideal solution for those seeking cloud-hosted relational databases. Additionally, new users can explore its capabilities with $300 in complimentary credits, making it easy to assess how well it meets their database needs.

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

SQL Databases

Google Cloud SQL provides a comprehensive managed service for SQL databases, including support for MySQL, PostgreSQL, and SQL Server. This service streamlines database management by automating tasks such as backup processes, scaling, and applying security updates, enabling users to concentrate on their applications rather than the underlying infrastructure. With Google Cloud SQL, users can enjoy enhanced performance and reliability for SQL workloads with minimal effort required. The platform accommodates complex queries and intricate data relationships, making it an excellent choice for businesses seeking powerful SQL database solutions in the cloud. Additionally, new users are offered $300 in free credits to explore and test out Google Cloud SQL, allowing them to assess the service for their SQL database requirements.

SQL Server

Google Cloud SQL offers a comprehensive managed service for operating SQL Server databases in the cloud, streamlining the process of hosting and overseeing enterprise-level SQL functionalities. This service automates essential operations such as backups, patches, and updates, guaranteeing a secure and efficient environment for SQL Server databases. Additionally, Cloud SQL enables users to easily adjust the scale of their SQL Server databases according to demand, providing adaptability without the burden of manual oversight. It supports a wide range of SQL Server versions, from standard to enterprise editions, making it a robust and budget-friendly option. New users can take advantage of $300 in complimentary credits to experience SQL Server on Google Cloud SQL and determine how it meets their requirements.

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

Product Features

Database

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

Relational Database

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

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Database

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

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

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

SQL Server

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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