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LizardFS

Paid#25 of 30 in Software-Defined Storage SoftwareDistributed File System Software

LizardFS: A self-managed distributed file system for cross-data-center storage. Ranked #25 of 30 in Software-Defined Storage Software by our editors (6.8/10); pricing: Pricing on request; best for distributed file storage across data centers.

6.8/10Editor score

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LizardFS6.8 Visit LizardFS

At a glance

Editor score
6.8 / 10
Pricing
Pricing on request
Best for
Distributed file storage across data centers
Deployment model
On-premises
Facts checked
21 Sep 2026

Where it wins
- Single namespace with replicated and erasure-coded protection
- Geo-replication, snapshots, quotas, and monitoring tools
- Windows, macOS, Linux clients with NFS and pNFS access
Where it doesn't
- Requires an on-premises, self-managed deployment
- Integrations are limited to OpenNebula and Elasticsearch
- Support coverage varies by plan and business hours

Our verdict on LizardFS

LizardFS combines disk space from multiple servers into a distributed single-namespace file system. It is designed for organizations managing their own storage infrastructure, particularly those handling data-intensive workloads across data centers. Separate metadata servers and chunkservers support the architecture, while clients on Windows and macOS can access a system designed for Linux deployment. Its stated use cases include big data, finance, media production, science, and telecommunications.

Pricing is quote-based and organized around three support plans. Standard Support includes technical support Monday-Friday, 9-17 CET, plus a standard maintenance package. Enterprise Support keeps the same support hours and adds a premium maintenance package. Enterprise + Support adds 24/7 technical support with premium maintenance. The plans make support coverage and maintenance the main commercial distinction, while deployment and support services are available by quotation. Organizations evaluating LizardFS should therefore compare required response coverage and maintenance expectations with their internal operational capacity.

The storage feature set is broad for a self-managed file system: replicated data, erasure coding with parity stripes, geo-replication between data centers, fast metadata-based snapshots, quotas, monitoring, NFS 3.x, NFS 4.0, and pNFS. OpenNebula and Elasticsearch provide documented ecosystem connections, but teams seeking a wider integration catalog may need additional operational work. LizardFS fits infrastructure teams that want open-source, on-premises control over distributed file storage and can manage the underlying environment. Organizations looking for a hosted service, a broader native ecosystem, or a less self-managed deployment should consider an alternative.

Your product? Our editors can test LizardFS in depth and publish a review, labelled as paid · from $149/mo →

LizardFS pricing

Plans Pricing on requestPaid No free plan — trial or paid only. Prices checked 21 Sep 2026.

See plans on lizardfs.com

All 3 LizardFS plans and prices →

LizardFS fact sheet

Free plan	Not verified
Paid from	Not verified
Deployment model	On-premises
Storage protocols	NFS 3.x, NFS 4.0, pNFS
Maximum nodes	Not verified
Replication	Yes
Erasure coding	Yes
Kubernetes support	Not verified
S3-compatible access	Not verified
Deployment	Self-hosted
Platforms	Windows, macOS, Linux
Support	Email, Phone · 24/7
Built for	Mid-market, Enterprise (editorial estimate)
Integrations	2 integrations: OpenNebula, Elasticsearch
Pricing	Pricing on request (source)
Website	lizardfs.com
Facts checked	21 Sep 2026

LizardFS integrations

LizardFS lists 2 integrations on its own site.

OpenNebula
Elasticsearch

Alternatives to LizardFS

See all LizardFS alternatives →

Also Ranked In

LizardFS is ranked in 2 of our directories.

#24Distributed File System Software32 tools ranked

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Featured on iTechGuides

LizardFS is listed in our Software-Defined Storage Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update