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What are the 4 Types of Storage?

The four primary types of storage in cloud computing, as commonly categorized by providers like Cyfuture Cloud, are:

Object Storage: Stores data as objects with metadata, ideal for unstructured data like images and videos.

Block Storage: Treats data as raw blocks, perfect for high-performance applications like databases.

File Storage: Organizes data in a hierarchical structure of files and folders, suited for shared access.

Archive Storage: Designed for long-term, infrequently accessed data with low-cost retention.

These types enable scalable, efficient data management on Cyfuture Cloud's infrastructure.

Understanding Storage Types in Cloud Computing

Storage forms the backbone of any cloud service, determining how data is saved, accessed, and managed. Cyfuture Cloud, a leading Indian cloud provider based in Delhi, offers these four types to meet diverse business needs—from high-speed transactional workloads to cost-effective backups. Each type excels in specific scenarios, balancing factors like performance, cost, scalability, and durability.

Choosing the right storage depends on your data's nature, access frequency, and compliance requirements. Cyfuture Cloud integrates these seamlessly across its data centers in India, ensuring low-latency access for users in Delhi and beyond.

Object Storage: Scalability for Unstructured Data

Object storage breaks data into discrete objects, each with unique identifiers and rich metadata. Unlike traditional file systems, it doesn't impose hierarchies, making it infinitely scalable.

Key Features on Cyfuture Cloud:

Durability: 99.999999999% (11 9's) over a year, with automatic replication.

Access Methods: RESTful APIs via S3-compatible interfaces.

Use Cases: Media streaming, backups, IoT data lakes, and big data analytics.

For instance, a Delhi-based e-commerce platform can store product images and user-generated content effortlessly. Cyfuture Cloud's object storage handles petabyte-scale growth without performance dips, costing as low as ₹1.5 per GB/month.

Block Storage: High-Performance for Databases

Block storage provides raw, unformatted blocks of data, appearing as local disks to virtual machines (VMs). It delivers the lowest latency and highest IOPS (Input/Output Operations Per Second), mimicking physical hard drives.

Key Features on Cyfuture Cloud:

Performance: Up to 100,000 IOPS and 1 GB/s throughput per volume.

Snapshots: Point-in-time backups for quick recovery.

Attachment: Mount to EC2-like instances for databases like MySQL or Oracle.

Ideal for mission-critical apps, such as financial trading systems in Mumbai. Cyfuture Cloud's NVMe-based block storage ensures sub-millisecond latency, priced from ₹4 per GB/month, with auto-scaling options.

File Storage: Familiar Hierarchy for Collaboration

File storage (or Network File System - NFS) uses a traditional directory structure, enabling multiple users or VMs to access shared files simultaneously. It's POSIX-compliant, supporting protocols like NFSv4 and SMB.

Key Features on Cyfuture Cloud:

Scalability: Elastic file systems growing to exabytes.

Consistency: Strong read-after-write consistency.

Use Cases: Content management systems (CMS), home directories, and media editing workflows.

A media production house in Delhi might use it for collaborative video projects. Cyfuture Cloud offers fully managed file storage with encryption at rest and in transit, starting at ₹2.5 per GB/month.

Archive Storage: Cost-Effective Long-Term Retention

Archive storage targets cold data accessed rarely, prioritizing low costs over speed. Retrieval takes hours to days, but it's perfect for compliance and disaster recovery.

Key Features on Cyfuture Cloud:

Retrieval Options: Standard (hours), expedited (minutes), or bulk (days).

Durability: 99.999999999% with geo-redundancy.

Use Cases: Regulatory archives, medical records, and historical logs.

For a healthcare provider storing patient records, Cyfuture Cloud's archive storage costs just ₹0.3 per GB/month, with lifecycle policies to automate transitions from active storage.

Comparison Table

Storage Type

Best For

Latency

Cost (₹/GB/mo)

Scalability

Cyfuture Cloud Example

Object

Unstructured data

Milliseconds

1.5

Unlimited

S3-compatible buckets

Block

Databases, VMs

Sub-ms

4.0

TB-scale

High-IOPS volumes

File

Shared files/folders

Milliseconds

2.5

EB-scale

NFS/SMB shares

Archive

Cold storage

Hours/Days

0.3

Unlimited

Tape-like retention

 

Cyfuture Cloud's multi-tier approach allows hybrid setups, like using block for active data and archive for backups, optimizing costs by up to 70%.

Security and Best Practices

All Cyfuture Cloud storage types feature AES-256 encryption, IAM policies, and VPC isolation. Enable versioning for objects/files to prevent accidental deletions. Use lifecycle management to tier data automatically—hot to cold—reducing expenses.

For Delhi enterprises, compliance with DPDP Act and ISO 27001 ensures data sovereignty within India.

Conclusion

Cyfuture Cloud's four storage types—object, block, file, and archive—provide flexible, high-performance solutions tailored to modern workloads. By matching storage to data patterns, businesses achieve optimal speed, cost, and reliability. Start with Cyfuture Cloud's free tier to test these options and scale seamlessly as your needs grow.

Follow-Up Questions with Answers

Q1: How do I choose the right storage type on Cyfuture Cloud?
A: Assess access frequency (frequent = block/object; rare = archive), data structure (unstructured = object; structured = block/file), and performance needs. Use Cyfuture's storage calculator tool for recommendations.

Q2: What are the pricing differences for high-volume users?
A: Volume discounts apply—e.g., object storage drops to ₹1/GB for 1PB+. Contact sales@cyfuture.cloud  for enterprise quotes.

Q3: Can I migrate data between storage types?
A: Yes, via automated lifecycle policies or tools like AWS DataSync equivalents on Cyfuture Cloud.

Q4: Is data stored only in India?
A: Yes, Cyfuture Cloud maintains all primary data in Indian data centers for latency and compliance.

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