# What hybrid cloud storage software handles large unstructured data sets best for a team that generates a lot of files, images and logs that do not fit neatly in a structured database?

Hoping to get a read from G2 software researchers in this space. The question is which hybrid cloud storage tools best handle large unstructured data, meaning the files, images, and logs that pile up fast and never fit tidily in a database.

Structured data has an obvious home, but once you're into millions of objects and media files, the tool choice really shapes cost, retrieval speed, and how much time you lose to management overhead. Object storage keeps coming up as the answer, so I looked at what reviewers say about the platforms built for exactly this.

NetApp StorageGRID: Reviewers describe it as software-defined object storage built for large volumes of unstructured data, with tiering across NVMe, SSD, S3, Azure Blob, and Google Cloud, a single namespace that can span multiple data centers, and metadata-driven lifecycle policies that move data by cost or compliance. The common gripes are a high overall cost and some tasks feeling clunky to set up.
Cloudian HyperStore: This is the one software and IT reviewers point to for keeping massive object data on their own terms, S3-compatible so apps connect without changes, and built to scale toward exabytes as IoT and AI workloads pile up, with object lock and encryption for protection. A couple note the monitoring interface could be more intuitive.
zStorage (by Zadara): Reviewers like that it handles object, file, and block from one fully managed, pay-as-you-go platform, with strong read and write speeds and the option to keep data on a dedicated array instead of public cloud. It's managed 24/7, so for a team buried in file and log growth, is offloading the storage operations worth leaning on a managed service, or would you rather keep hands-on control?

For teams that already live in this kind of data, which of these kept retrieval fast and costs sane once you were past a few hundred terabytes? And has anyone run images and logs on the same object platform happily, or did you end up splitting hot log data off onto something separate?

##### Post Metadata - Posted at: 28 days ago - Author title: Tech Consultant - Net upvotes: 1 ## Comments ### Comment 1 <p>From G2 reviews, Cloudian HyperStore holds up best past a few hundred terabytes for teams that want to keep control of their own infrastructure. G2 reviewers running mixed image and log workloads on it describe the S3 compatibility as the feature that prevents retrieval from becoming a re-architecture problem as volume grows. Most reviewers who split hot log data off onto something separate did so for cost reasons rather than performance ones, suggesting the platform handles both workloads technically, but the economics favor tiering logs to cheaper storage once volume makes the bill visible.</p> ##### Comment Metadata - Posted at: 26 days ago - Author title: Marketing Executive ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: over 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: over 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4