Die 25 besten Objektspeicherlösungen 2026 im Überblick

Cloudian HyperStore is a scalable object storage platform designed to help you manage large volumes of data efficiently. It offers S3 compatibility and hybrid cloud capabilities, making it a versatile tool for your data storage needs.

Why I Picked Cloudian HyperStore: I picked Cloudian HyperStore because of its S3 compatibility, which ensures you can integrate it with cloud-native applications easily. This feature is crucial for businesses looking to keep their storage solutions flexible and scalable. The platform's hybrid cloud capabilities also allow you to manage data across both on-premises and cloud environments, giving you greater control and adaptability.

Another reason for choosing Cloudian HyperStore is its advanced data protection features. With military-grade security, including data encryption and ransomware defense, your data is safeguarded against threats. This level of protection is particularly beneficial if you're in industries that handle sensitive information, like healthcare and telecommunications.

Standout Features & Integrations:

Features include exabyte scale, allowing for limitless growth and non-disruptive expansion across multiple sites. AI-ready performance supports high-throughput and low-latency capabilities, essential for AI workloads. The unified file and object management feature simplifies data operations by managing both file and object storage under one system, enhancing operational efficiency.

Integrations include AWS, Microsoft, VMware, Veeam, Commvault, Kasten, Snowflake, Teradata, Confluent Platform, Rubrik, Google GCP, and Azure Blob.

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.

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.

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.

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.

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.

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.

Evergreen//One has paved its path as a frontrunner in delivering storage-as-a-service. Recognizing the shift towards service-oriented storage solutions, this tool fills the niche effectively, catering specifically to those seeking a service-based approach.

Why I Picked Evergreen//One: When determining which tools would make the cut, Evergreen//One was an evident choice due to its commitment to storage-as-a-service. I selected it because, in my comparisons, it consistently demonstrated an edge in this domain, underscoring its prowess.

It's my informed opinion that Evergreen//One truly stands out as the best for those with storage-as-a-service needs, simplifying storage management and offering it as an on-tap service.

Standout Features & Integrations:

Evergreen//One showcases a host of features like pay-as-you-go pricing and non-disruptive upgrades, making storage management hassle-free. Additionally, its self-service capabilities give users the autonomy they desire. In terms of integrations, Evergreen//One partners with popular cloud providers and integrates with many enterprise applications, ensuring storage solutions are cohesive with existing workflows.

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.

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.