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What is IBM Cloud Databases?

IBM Cloud Databases act as open-source data storage solutions specifically designed for enterprise application development. Utilizing a Kubernetes-based framework, these databases facilitate the creation of serverless applications. They are crafted to significantly improve storage and computational efficiency while eliminating the limitations common in single-server systems. Fully embedded within the IBM Cloud console, they provide a consolidated framework for consumption, pricing, and user engagement. The primary objective is to create a seamless experience for developers, which includes features like access control, backup orchestration, and encryption key management, along with extensive auditing, monitoring, and logging capabilities. This integrated system not only boosts usability but also allows developers to concentrate on crafting innovative applications without being burdened by infrastructure limitations. Ultimately, IBM Cloud Databases empower businesses to harness the full potential of their data-driven projects.

What is Google Cloud Bigtable?

Google Cloud Bigtable is a robust NoSQL data service that is fully managed and designed to scale efficiently, capable of managing extensive operational and analytical tasks. It offers impressive speed and performance, acting as a storage solution that can expand alongside your needs, accommodating data from a modest gigabyte to vast petabytes, all while maintaining low latency for applications as well as supporting high-throughput data analysis. You can effortlessly begin with a single cluster node and expand to hundreds of nodes to meet peak demand, and its replication features provide enhanced availability and workload isolation for applications that are live-serving. Additionally, this service is designed for ease of use, seamlessly integrating with major big data tools like Dataflow, Hadoop, and Dataproc, making it accessible for development teams who can quickly leverage its capabilities through support for the open-source HBase API standard. This combination of performance, scalability, and integration allows organizations to effectively manage their data across a range of applications.

Media

Media

Integrations Supported

Azure Spring Apps
Blocktree
IBM Cloud
IBM Datacap
IBM InfoSphere Data Architect
PostgreSQL Maestro

Integrations Supported

Apache Spark
Google Cloud Dataflow
Google Cloud IoT Core
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google VPC Service Controls
Hadoop
Heroic
InfluxDB
Infometry Google Connectors
JanusGraph
Privacera
TIMi
ThoughtSpot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/databases

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/bigtable

Categories and Features

Categories and Features

Columnar Databases

Not specified

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Security
Database Conversion
Monitoring
NOSQL
Performance Analysis
Queries

Distributed Databases

Not specified

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Time Series Databases

Not specified

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