Learn More

Average Ratings 39 Ratings

Total
ease
features
design
support

Average Ratings 1,117 Ratings

Total
ease
features
design
support

Description

Firebase is an invaluable resource for developing and managing successful applications, gaining popularity among development teams ranging from startups to large corporations, thanks to its robust backing by Google. It offers a suite of reliable products and solutions that accompany your app throughout its lifecycle. You can easily automate routine development tasks by installing pre-packaged, open-source code bundles. Furthermore, Firebase allows seamless integration with your team's preferred tools, enabling you to tackle intricate challenges and enhance the overall user experience of your app. Whether you want to personalize the onboarding process, boost user engagement, or introduce new features, Firebase has you covered. With comprehensive documentation and cross-platform SDKs, Firebase supports app building and deployment across Android, iOS, web platforms, C++, and Unity. You can discover how to initiate a Firebase project, register your applications, and incorporate the Firebase SDKs tailored to your specific platform—be it iOS, Android, or the web. Additionally, you can delve into Firebase project concepts, explore detailed insights into project permissions and management systems, and prepare your application for launch effectively, ensuring that you have all the tools necessary for a successful deployment. Overall, Firebase stands as a pivotal ally in the app development arena.

Description

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform
ANIMA Blockchain
Bravo
Breinify
CoRover.ai
Cognigy.AI
Doppler
DuetPatient
Eazy Ride
Enveu
Firebase Test Lab
Flatly
Google Cloud Observability
LibreChat
Mok
Pendula
StatStak
TRIFFT Loyalty Cloud
Test Kitchen
VivoCabs

Integrations

Google Cloud Platform
ANIMA Blockchain
Bravo
Breinify
CoRover.ai
Cognigy.AI
Doppler
DuetPatient
Eazy Ride
Enveu
Firebase Test Lab
Flatly
Google Cloud Observability
LibreChat
Mok
Pendula
StatStak
TRIFFT Loyalty Cloud
Test Kitchen
VivoCabs

Pricing Details

$24.99 per month
Free Trial
Free Version

Pricing Details

Free ($300 in free credits)
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

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

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

firebase.google.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/compute

Product Features

Mobile App Development

Access Controls / Permissions
Any App Development Language
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Drag and Drop Editor
Enterprise Mobility (EMM/MAM)
FaceID and TouchID
For Consumer Apps
For Enterprise Apps
Integration Options
Mobile App Security
Multi-Factor Authentication (MFA)
Multiple Apps from Same Base
No Dependencies
No-Code
Reporting / Analytics
Single Sign-On (SSO)
Source Control
Visual Editor

Push Notifications

A/B Testing
Analytics
Campaign Segmentation
Contextual Targeting
Device Targeting
Expiry Notifications
Geo Targeting
Mobile Notifications
Notification Scheduling
Visual Notifications
Web Notifications

Product Features

AI Infrastructure

Google Compute Engine provides a powerful AI infrastructure designed specifically for intensive machine learning and artificial intelligence tasks. It allows users to utilize a mix of virtual machines, GPUs, and TPUs, optimizing the scaling of their AI models for quicker training and inference times. The platform is compatible with a wide range of frameworks and tools, enabling developers to enhance their AI operations on a global level. Additionally, new clients are given $300 in complimentary credits, allowing them to test and experience the capabilities of Google Compute Engine's AI infrastructure, facilitating the advancement of their AI projects without any initial expenses.

Auto Scaling

The auto scaling capability of Google Compute Engine dynamically modifies the number of virtual machine instances based on varying traffic or workload requirements. This functionality guarantees that applications operate efficiently without the need for manual adjustments and minimizes costs by reducing resources when demand decreases. Users have the flexibility to set scaling guidelines according to particular metrics, like CPU usage or request frequency, allowing for tailored resource distribution. New users are also offered $300 in free credits, giving them the opportunity to experiment with and optimize auto scaling for their specific needs.

Cloud GPU

Google Compute Engine provides users with the ability to utilize high-performance cloud GPUs that can be integrated with virtual machines, catering to demanding workloads. These Cloud GPUs are particularly well-suited for applications such as machine learning, video rendering, 3D modeling, and scientific simulations, delivering the necessary computational power for intensive tasks. Google offers a selection of GPU models, including NVIDIA Tesla K80s, P4s, T4s, and V100s, allowing users to select the best option for their individual performance requirements. New users are welcomed with $300 in free credits, which they can use to experiment with Cloud GPU capabilities across various GPU-accelerated applications, facilitating enhanced performance and quicker results.

Cloud Management

Google Compute Engine delivers an extensive suite of cloud management solutions that empower users with oversight and administration of their cloud infrastructure. These solutions enable administrators to keep an eye on the status of virtual machines, set up resources, streamline deployment workflows, and monitor financial and usage data. Leveraging the integrated tools provided by Google Cloud, businesses can ensure efficient operations while managing expenses effectively. Additionally, new users can benefit from $300 in complimentary credits to experiment with and utilize cloud management capabilities, enhancing both the efficiency and affordability of their virtual setups.

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Infrastructure-as-a-Service (IaaS)

Google Compute Engine is a powerful Infrastructure-as-a-Service (IaaS) solution that delivers users flexible compute resources via virtual machines. This service allows clients to easily allocate resources as required, only incurring charges for what they utilize, which helps them adjust their infrastructure to accommodate fluctuating workloads. By removing the necessity for physical hardware, it provides enhanced flexibility, security, and rapid provisioning to align with business needs. New users can take advantage of $300 in complimentary credits, giving them the opportunity to explore the capabilities of IaaS and experience the adaptability and scalability of Google Compute Engine's cloud platform.

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Server Virtualization

Google Compute Engine's server virtualization feature enables users to operate several virtual machines on one physical server, thereby optimizing resource use and reducing hardware expenses. This innovative solution offers the flexibility to handle various workloads through environment isolation and support for multi-tenancy, streamlining application deployment, management, and scalability. Users can fully customize their virtualized servers, tailoring resources like CPU, memory, and storage to meet the unique needs of their applications. Additionally, new users receive $300 in complimentary credits to explore server virtualization, allowing them to dynamically scale their infrastructure while managing costs effectively.

Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor

Virtual Machine

Google Compute Engine offers virtual machines (VMs) that are both customizable and scalable, allowing users to adapt compute resources to their unique requirements. Supporting an extensive array of operating systems, including various distributions of Linux and Windows, these VMs provide the versatility needed for diverse applications. Users can effortlessly adjust CPU, memory, and storage specifications to match their workload demands, ensuring an optimal balance between performance and cost. Additionally, new users are eligible for $300 in free credits, which can be used to set up and test virtual machines on Google Compute Engine, giving them the opportunity to explore various configurations and enhance their infrastructure.

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Virtualization

Google Compute Engine's virtualization technology facilitates the establishment of separate virtual spaces within a common physical framework. This innovative approach allows users to enhance resource efficiency and streamline the management of workloads by hosting several virtual machines (VMs) on a single server. With its advanced virtualization features, Google Compute Engine empowers users to adjust their resources dynamically according to immediate demands, ensuring both optimal performance and cost-effectiveness. New users are welcomed with $300 in complimentary credits, giving them the opportunity to discover the advantages of virtualization for their workloads and improve their cloud infrastructure.

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Alternatives

Alternatives

Ionic Reviews

Ionic

Drifty