IBM Cloudant vs Google Cloud Platform

Struggling to choose between IBM Cloudant and Google Cloud Platform? Both products offer unique advantages, making it a tough decision.

IBM Cloudant is a Online Services solution with tags like nosql, document-database, cloud-database, json-database.

It boasts features such as JSON document storage, Full text search, Geospatial queries, Replication and sync, Access control and encryption, Backups and recovery, Monitoring and analytics and pros including Fully managed service, High availability, Scalable, Flexible data schema, Real-time sync, Robust query support, Enterprise security.

On the other hand, Google Cloud Platform is a Ai Tools & Services product tagged with cloud, infrastructure, platform, services, machine-learning, big-data.

Its standout features include Compute Engine - Scalable virtual machines, App Engine - Serverless application platform, Kubernetes Engine - Managed Kubernetes clusters, Cloud Storage - Object storage, BigQuery - Serverless data warehouse, Cloud SQL - Managed SQL databases, Cloud DNS - Managed DNS, Networking - Virtual networks, load balancing, Stackdriver - Monitoring, logging, diagnostics, and it shines with pros like Global infrastructure and network, Autoscaling and load balancing, Integrated services and APIs, Security and compliance features, Pay-as-you-go pricing, Generous free tier.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

IBM Cloudant

IBM Cloudant

IBM Cloudant is a fully managed NoSQL document database service built for modern web and mobile applications. It is optimized for handling heavy workloads of concurrent reads and writes in the cloud.

Categories:
Online Services Databases
nosql document-database cloud-database json-database

IBM Cloudant Features

  1. JSON document storage
  2. Full text search
  3. Geospatial queries
  4. Replication and sync
  5. Access control and encryption
  6. Backups and recovery
  7. Monitoring and analytics

Pricing

  • Pay-As-You-Go
  • Subscription-Based

Pros

Fully managed service

High availability

Scalable

Flexible data schema

Real-time sync

Robust query support

Enterprise security

Cons

Can get expensive for large datasets

Limited aggregation functions

No graphical interface

Steep learning curve

Google Cloud Platform

Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. GCP offers computing, storage, networking, big data, machine learning, and application services in the cloud.

Categories:
Ai Tools & Services Cloud Computing
cloud infrastructure platform services machine-learning big-data

Google Cloud Platform Features

  1. Compute Engine - Scalable virtual machines
  2. App Engine - Serverless application platform
  3. Kubernetes Engine - Managed Kubernetes clusters
  4. Cloud Storage - Object storage
  5. BigQuery - Serverless data warehouse
  6. Cloud SQL - Managed SQL databases
  7. Cloud DNS - Managed DNS
  8. Networking - Virtual networks, load balancing
  9. Stackdriver - Monitoring, logging, diagnostics

Pricing

  • Pay-As-You-Go
  • Free Tier

Pros

Global infrastructure and network

Autoscaling and load balancing

Integrated services and APIs

Security and compliance features

Pay-as-you-go pricing

Generous free tier

Cons

Can be more expensive for heavy workloads

Not as many services as AWS

Steeper learning curve than some clouds

Vendor lock-in