10 Best Object Storage Software Shortlist
Here's my pick of the 10 best software from the 25 tools reviewed.
Our one-on-one guidance will help you find the perfect fit.
Navigating the intricate world of object storage systems, I've witnessed how they've revolutionized enterprise storage, especially in the age of big data analytics. Unlike traditional file systems and block storage, an object storage platform is designed for workloads in cloud computing, easily integrating with both public and private cloud infrastructure.
These systems are the backbone of software-defined storage, providing resiliency and low latency crucial for tasks like disaster recovery. Simply put, they empower you to store data efficiently and safely. Leveraging them, you can harness the full potential of cloud infrastructure and ensure optimal performance for your cloud applications.
What Is An Object Storage Software?
Object storage software provides a method for storing vast amounts of data as discrete units, called objects, rather than in a hierarchical file structure. Each object contains not only the data but also metadata and a unique identifier, which allows for easy retrieval in a flat address space. This design caters to the needs of businesses with large, unstructured data sets, like multimedia content, web application assets, or backup files.
Enterprises, cloud service providers, and developers leverage object storage for its scalability and reliability, especially when dealing with web-scale data, distributed systems, and cloud-native applications.
Best Object Storage Software Summary
Tools | Price | |
---|---|---|
Nutanix Objects Storage | Pricing upon request | Website |
Azure Blob Storage | Pricing upon request | Website |
Amazon Simple Storage Service (S3) | Pricing upon request | Website |
Zadara | From $10/user/month (billed annually) + $20 base fee per month | Website |
IBM Cloud Object Storage | Pricing upon request | Website |
Hitachi Content Platform | Pricing upon request | Website |
Quantum ActiveScale | From $12/user/month (billed annually) + $30 base fee per month | Website |
Google Cloud Storage | No details | Website |
Lunavi Cloud Storage | From $10/user/month (billed annually) + $25 base fee per month | Website |
MinIO | Pricing upon request | Website |
Compare Software Specs Side by Side
Use our comparison chart to review and evaluate software specs side-by-side.
Compare SoftwareBest Object Storage Software Reviews
Nutanix Objects Storage serves as a comprehensive solution for storing and managing data across multiple cloud environments. Its architecture is uniquely designed to ensure consistent data management, making it particularly beneficial for businesses looking to operate in diverse cloud setups without complications.
Why I Picked Nutanix Objects Storage: In the process of selecting and comparing cloud management platforms, Nutanix Objects Storage caught my attention for its robust multi-cloud capabilities.
From my perspective, while many tools may claim multi-cloud management, Nutanix stands out in efficiently bridging various cloud platforms and minimizing data fragmentation. I judged this tool to be the best for businesses that want to easily manage data across multiple cloud ecosystems without hassles.
Standout Features & Integrations:
Nutanix Objects Storage offers scalable object storage with built-in data protection, reducing the risk of data loss. Its intelligent tiering feature ensures optimal resource utilization by shifting data between storage tiers based on access patterns.
Integration-wise, it offers compatibility with a broad range of third-party applications, facilitating diverse operations within the multi-cloud landscape.
Pros and cons
Pros:
- Intelligent tiering improves resource use
- Scalable storage with integrated data protection
- Efficient multi-cloud data management
Cons:
- Not ideal for businesses with limited IT expertise
- Some advanced features could be complex to set up
- Might have a steeper learning curve for newcomers
Azure Blob Storage is Microsoft's object storage solution for the cloud, designed to provide companies with fast and secure data storage capabilities. Given its intrinsic integration with the Azure ecosystem, it excels in scenarios where businesses leverage Azure's suite of services.
Why I Picked Azure Blob Storage: While determining the most efficient storage solutions, Azure Blob Storage became a clear choice due to its tight-knit integration with Azure's other services. In my opinion, after comparing various platforms, its innate compatibility with the Azure environment makes it stand out. Hence, for organizations deeply invested in Azure services, this tool is undoubtedly the best fit.
Standout Features & Integrations:
Azure Blob Storage offers tiered storage options, ensuring optimal pricing and performance balance. The platform also provides advanced data protection features such as Azure Backup and Azure Site Recovery.
Integration-wise, it fits naturally with Azure services like Azure Machine Learning, Azure Functions, and the broader Microsoft Power Platform.
Pros and cons
Pros:
- Robust data protection features
- Provides tiered storage options for pricing and performance flexibility
- Inherent integration with a wide range of Azure services
Cons:
- May not be the most cost-effective for organizations not heavily invested in Azure
- Data egress fees can add up for businesses with large data retrieval needs
- Can be complex for users not familiar with the Azure ecosystem
Amazon Simple Storage Service, commonly referred to as S3, is a robust object storage service designed for a wide range of use cases, from web applications to data backup. Its vast ecosystem and scalability capabilities make it particularly attractive to businesses that require expansive storage solutions and have diverse operational needs.
Why I Picked Amazon Simple Storage Service (S3): In evaluating various storage solutions, Amazon S3 caught my attention because of its unmatched scale and breadth of integration within the AWS ecosystem. From my perspective, its extensive global presence, combined with a comprehensive set of features, sets it apart from many competitors.
I believe it is especially suited for organizations that desire flexibility in scale and a rich array of integrated AWS services.
Standout Features & Integrations:
Amazon S3 offers unparalleled data durability, ensuring safety against data loss. Its bucket policies and access controls allow for nuanced management of data accessibility. Integration-wise, S3 works smoothly with other AWS services, including AWS Lambda, Amazon Athena, and AWS Glue, thereby enhancing analytics, computing, and data processing.
Pros and cons
Pros:
- Advanced access controls and security features
- High-level data durability
- Extensive integration with AWS services
Cons:
- Potential egress charges when transferring data out of S3
- Requires a learning curve for new users, particularly in configuring bucket policies
- Pricing can be complicated given its various storage classes and retrieval options
Zadara emerges as a robust object storage solution explicitly designed for storing backups. It's this specialized focus on backup scenarios that sets it apart, ensuring data remains intact, retrievable, and ready for any recovery scenarios.
Why I Picked Zadara: In the vast landscape of object storage solutions, my judgment leaned towards Zadara due to its distinct emphasis on backup-centric storage. I selected it for the list because, compared to other tools, its design and features directly address backup challenges. It's my opinion that Zadara is best for backup to object storage solutions, ensuring data is not just stored, but also safeguarded for the long haul.
Standout Features & Integrations:
Zadara boasts of a dedicated object storage environment with VPSA storage arrays, ensuring data remains available even under challenging conditions. This elasticity of storage allows businesses to adapt to changing data requirements. Crucially, Zadara plays well with major backup software, simplifying workflows and strengthening the backup process.
Pros and cons
Pros:
- Compatibility with major backup software
- Resilient data availability with VPSA
- Dedicated backup-centric design
Cons:
- Potential learning curve for those unfamiliar
- Requires acclimation to its storage array ecosystem
- May be too specific for diverse storage needs
IBM Cloud Object Storage is engineered to store vast amounts of data in a highly accessible, yet cost-effective manner. Specifically tailored for data analytics, it offers solutions that can handle the massive data influx typical of large-scale analytical tasks.
Why I Picked IBM Cloud Object Storage: In my journey of selecting storage platforms, IBM Cloud Object Storage emerged as a leader in handling vast quantities of data tailored for analytics. Through judging various platforms and comparing their features, I formed the opinion that IBM's offering is uniquely equipped to manage the intensive demands of large-scale data analytics.
Hence, I firmly believe it stands as the best choice for businesses aiming to delve deep into data-driven insights.
Standout Features & Integrations:
IBM Cloud Object Storage offers features like built-in high-speed data transfer capabilities and automatic data replication across IBM Cloud data centers. Additionally, its policy-based archive system allows users to manage the lifecycle of their data efficiently.
As for integrations, the platform harmoniously aligns with IBM's suite of analytics and AI tools, providing a cohesive ecosystem for data-driven operations.
Pros and cons
Pros:
- Easy integration with IBM's analytics and AI tools
- Built-in high-speed data transfer features
- Designed to manage large volumes of data effectively
Cons:
- Transitioning from another platform could be challenging for some users
- The user interface might not be as intuitive as some competitors
- May be overly complex for small-scale operations
Hitachi Content Platform (HCP) is a versatile storage solution that allows businesses to easily integrate their on-premises storage with the cloud. Its unique hybrid architecture ensures companies maintain their data's accessibility and security, regardless of where it resides, matching its reputation for robust hybrid cloud capabilities.
Why I Picked Hitachi Content Platform: Through the process of selecting storage platforms, the Hitachi Content Platform stood out due to its superior hybrid cloud offerings. In determining the best tools in the market, I judged HCP to be a unique choice, especially when compared to other platforms in terms of its hybrid storage capabilities.
In my opinion, if a business is aiming to maximize the advantages of both on-premises and cloud storage, Hitachi Content Platform is undeniably the best choice for its hybrid capabilities.
Standout Features & Integrations:
HCP boasts a multi-cloud architecture, allowing businesses to choose which cloud provider best suits their needs, and then integrate easily. Its robust data protection features ensure data remains safeguarded regardless of its location.
As for integrations, Hitachi Content Platform supports most mainstream enterprise applications and cloud services, offering a versatile solution for businesses that use a diverse array of tools.
Pros and cons
Pros:
- Broad integration support for enterprise applications
- Strong data protection features for hybrid environments
- Offers flexible multi-cloud architecture
Cons:
- Possible over-features for businesses not seeking extensive hybrid capabilities
- Some configurations might be complex for smaller teams
- Potential learning curve for those unfamiliar with hybrid environments
Quantum ActiveScale emerges as a significant player in the object storage landscape, providing businesses with a trustworthy foundation for their vast data storage requirements. With a solid emphasis on data durability, this tool promises to maintain data integrity even as storage demands intensify.
Why I Picked Quantum ActiveScale: While sifting through numerous storage solutions, Quantum ActiveScale caught my attention due to its remarkable emphasis on data durability. I selected this tool after determining its capacity to offer unparalleled data retention capabilities.
In comparing it with others, it was clear that Quantum ActiveScale's commitment to assuring data durability sets it apart, making it a top choice for those who prioritize long-term data preservation.
Standout Features & Integrations:
Quantum ActiveScale boasts features such as Dynamic Data Placement, ensuring data remains protected and accessible even in the event of hardware failures. Moreover, its Erasure Coding technology further bolsters data protection against potential disruptions.
Integration-wise, Quantum ActiveScale works well with popular data analytics tools, allowing businesses to derive insights without migrating their data.
Pros and cons
Pros:
- Erasure Coding technology further enhances data durability
- Supports massive scalability for future-proof storage
- Dynamic Data Placement fortifies data protection
Cons:
- May not be suitable for smaller organizations with limited data storage needs
- User interface might require a learning curve for some
- Initial configuration can be complex for newcomers
Google Cloud Storage (GCS) is an enterprise-level object storage solution tailored for businesses looking to store and retrieve vast amounts of data. Its integration within the Google Cloud ecosystem makes it an ideal choice for organizations already leveraging Google Cloud services.
Why I Picked Google Cloud Storage: In the process of selecting an optimal storage solution, GCS stood out because of its intrinsic integration with the diverse suite of Google Cloud services. From my judgment, after comparing different platforms, its native fit within the Google Cloud framework differentiates it from other options.
For businesses deeply rooted in Google Cloud's services, this tool naturally emerges as the preferred choice.
Standout Features & Integrations:
GCS boasts of durability, ensuring data remains intact and accessible. It also offers versioning, enabling businesses to keep track of and retrieve object versions.
Integration-wise, GCS flawlessly collaborates with Google Cloud services such as BigQuery, Cloud Machine Learning, and Dataflow, enhancing data analytics and processing capabilities.
Pros and cons
Pros:
- Built-in object versioning
- High data durability and availability
- Direct integration with Google Cloud services
Cons:
- Possibly not the most budget-friendly for entities not already engaged with Google Cloud
- Egress fees can become significant for extensive data retrievals
- Might be complex for those unfamiliar with the Google Cloud platform
Lunavi Cloud Storage emerges as a robust solution for those in search of adaptable cloud storage options. Aligned with the rising demands of data-driven operations, it ensures that scalability isn't just an option but a built-in feature for organizations.
Why I Picked Lunavi Cloud Storage: In my pursuit to select the top-performing tools, Lunavi Cloud Storage consistently showcased its merit. I chose it because it readily stood out in offering flexibility and adaptability in storage scaling. When drawing comparisons, it became evident that Lunavi was a notch above, especially in handling fluctuating data needs, making it the best for scalable cloud storage requirements.
Standout Features & Integrations:
Lunavi Cloud Storage excels with features like automatic data replication and built-in data encryption, ensuring data integrity and security. It also boasts an intuitive interface that aids in easy data management.
In terms of integrations, Lunavi aligns well with major cloud platforms and integrates effortlessly with a multitude of data management tools, providing a cohesive storage experience.
Pros and cons
Pros:
- User-friendly interface streamlining data management
- Encrypted storage for improved data security
- Automatic data replication ensures redundancy
Cons:
- Limited to certain geographical regions for optimal performance
- Requires some initial setup for optimal use
- Might be overwhelming for small-scale needs
MinIO offers a high-performance, Kubernetes-native object storage solution. Specifically designed with Kubernetes in mind, MinIO ensures compatibility and streamlined performance for applications operating within the Kubernetes ecosystem.
Why I Picked MinIO: When choosing a storage solution, MinIO's approach to Kubernetes-native object storage captivated my attention. Among the myriad storage tools I judged, MinIO distinctly positioned itself as a tool tailored for the Kubernetes environment. This particular focus led me to determine that MinIO is undeniably best for organizations leaning heavily on Kubernetes for their application deployment.
Standout Features & Integrations:
MinIO's storage suite boasts features like erasure coding and bitrot protection, enhancing data durability and integrity. The server-side encryption ensures that data remains secure at rest.
For integrations, MinIO smoothly aligns with popular DevOps tools and platforms, amplifying its utility in a Kubernetes-centered setup.
Pros and cons
Pros:
- Easy integration with prevalent DevOps tools
- Erasure coding and bitrot protection enhance data safety
- Explicitly tailored for Kubernetes environments
Cons:
- The user interface could be intimidating for some
- Requires a level of familiarity with Kubernetes for optimal utility
- Might be over-specialized for non-Kubernetes users
Other Noteworthy Object Storage Software
Below is a list of additional object storage software that I shortlisted but did not make it to the top 10. These are definitely worth checking out.
- Evergreen//One
For storage-as-a-service needs
- Cloudian HyperStore
For native S3 compatibility
- DataDirect Networks (DDN) WOS
Good for high-performance at scale
- OpenText InfoArchive
Good for compliance and data archiving
- Cloudian HyperStore File Services
Good for hybrid cloud file services
- OpenIO
Good for scalable and open-source object storage
- Swift by OpenStack
Good for multi-tenant object storage infrastructure
- Wasabi Object Storage
Good for cost-effective hot cloud storage
- Alibaba Object Storage Service
Good for integrated cloud solutions with Asian data centers
- Qumulo
Good for real-time analytics and visibility
- StorageGRID
Good for object-based storage with data intelligence
- DreamHost Cloud Object Storage
Good for affordable and scalable storage needs
- IBM Storage Protect
Good for advanced data backup and recovery
- Scality
Good for flexibility in multi-cloud environments
- Ceph
Good for modular and unified storage environments
Other Storage Software Reviews
Selection Criteria For Choosing Object Storage Software
In the world of object storage and cloud data solutions, the sheer volume of tools available can be overwhelming. Over the years, I've personally dived deep into the sector, testing a plethora of these solutions. I've evaluated dozens of storage tools, but I always found myself gravitating towards certain criteria.
Specifically, I was on the lookout for tools that not only serve their basic purpose but also stand out in their feature offerings, usability, and integration capabilities. Here's a breakdown of the criteria I prioritized in my evaluation:
Core Functionality
- Data Durability: Ensure the tool provides multiple data copies across different zones or regions for high availability and redundancy.
- Scalability: The ability to handle both small and vast amounts of data without performance hitches.
- Data Security: Robust encryption methods for data at rest and in transit.
- Integration with Cloud Platforms: Easy integration capabilities with popular cloud providers like AWS, Google Cloud, or Azure.
Key Features
- Tiered Storage: Allows data to be stored across different types of storage mediums based on access frequency, thus optimizing costs.
- Data Lifecycle Management: Features that automate the transition of objects through different storage classes and manage object deletions.
- Data Replication and Distribution: Ensure data is consistently available across multiple locations.
- Compliance and Auditing Tools: For businesses with strict regulatory requirements, having built-in tools to assist with compliance is crucial.
- Metadata Management: Efficiently handle and search through metadata associated with stored objects.
Usability
- Intuitive Dashboard: For object storage, a centralized dashboard that provides a holistic view of storage consumption, performance metrics, and health checks is vital.
- Robust APIs: Given that many interactions with object storage may be programmatic, having a well-documented and functional API is key.
- Clear Documentation and Training: As many of these tools cater to businesses, it's crucial they come with comprehensive documentation, tutorials, or even training programs to get users onboarded swiftly.
- Role-Based Access: With multiple individuals often accessing the storage solution, it's imperative for the tool to have configurable access controls. This ensures that users only access data they are authorized to view or modify.
Most Common Questions Regarding Object Storage Software
What are the benefits of using the best object storage software?
The best object storage software offers a myriad of advantages, including:
- Scalability: These tools are designed to scale out by adding nodes, accommodating large volumes of unstructured data.
- Data Durability: By storing multiple copies of data across zones or regions, they ensure high data availability and protection against data loss.
- Cost-Efficiency: Object storage often provides a cost-effective solution as compared to block or file storage, especially for storing vast amounts of data.
- Metadata Management: Improved capabilities to manage and search through metadata associated with stored objects, providing a richer dataset and easier retrieval.
- Accessibility: With most tools offering robust APIs, data in object storage can be accessed programmatically, enabling easy integration with apps and workflows.
How are these tools typically priced?
Most object storage software adopts a pay-as-you-go pricing model. You’re essentially billed for the amount of data stored, the amount of data transferred, and the number of requests made. Some providers might also charge for additional features or higher tiers of service.
What is the typical range of pricing for these tools?
The pricing varies based on the provider and the specific needs of the organization. On average, prices might range from $0.01 to $0.05 per GB per month for storage, with additional charges for data transfer and requests.
Which software is the cheapest, and which is the most expensive?
DreamHost Cloud Object Storage and Wasabi Object Storage tend to be on the more affordable end of the spectrum. In contrast, enterprise-grade solutions like those offered by IBM or Dell EMC may come with a higher price tag due to advanced features and support.
Are there any free tool options available?
Yes, there are open-source object storage solutions like Ceph and OpenIO. While the software itself is free, deploying and maintaining it might require infrastructure and expertise, which can have associated costs.
Why is there such a broad range in pricing?
Pricing is influenced by various factors, including the provider’s infrastructure costs, the level of support provided, additional features, and the target market (enterprise vs. small business).
How does object storage differ from traditional storage?
Object storage manages data as objects, each with a unique ID and metadata. Traditional storage, like block or file storage, organizes data in a hierarchical manner, making object storage better suited for unstructured data and cloud environments.
Do I need any specific technical expertise to use these tools?
While basic operations can be handled with minimal technical know-how, having expertise is beneficial for tasks like setup, configuration, and optimization. Many providers offer detailed documentation and support to assist users.
Summary
Choosing the right object storage software is pivotal in ensuring data management, especially when dealing with vast amounts of unstructured data. Throughout this guide, I delved into the intricacies of various object storage solutions, highlighting their unique selling points, core functionalities, key features, usability, and pricing models.
With the expanding digital landscape, having the right object storage in place is not just about storing data, but also about accessing, managing, and ensuring its durability efficiently.
Key Takeaways
- Match needs with features: Every object storage solution brings its unique set of features. It's essential to align these with your specific use-case requirements, whether it's scalability, data durability, or metadata management capabilities.
- Understand the pricing model: Object storage tools come with varied pricing models, often based on data stored, transferred, or the number of requests. Ensure you grasp these nuances to avoid unexpected costs.
- Open-source isn’t always free: While open-source solutions don't come with licensing fees, they may have hidden costs in terms of setup, maintenance, and infrastructure. Factor these in when considering total ownership costs.
What Do You Think?
I strive to provide comprehensive and up-to-date information. However, the tech landscape is vast and ever-evolving. If you believe there's a standout object storage software I might have overlooked, please share it with me. Your insights help me refine my content and serve my readers better.