Compare DataCore SANsymphony SDS vs. IBM Spectrum Scale

DataCore SANsymphony SDS is ranked 4th in Software Defined Storage (SDS) with 23 reviews while IBM Spectrum Scale which is ranked 11th in Software Defined Storage (SDS) with 4 reviews. DataCore SANsymphony SDS is rated 9.2, while IBM Spectrum Scale is rated 8.6. The top reviewer of DataCore SANsymphony SDS writes "Provides HA virtualized storage independent of storage type or vendor". On the other hand, the top reviewer of IBM Spectrum Scale writes "As far as capacity is concerned, it can handle most heavy loads". DataCore SANsymphony SDS is most compared with VMware vSAN, Microsoft Storage Spaces Direct and Pure Storage FlashArray, whereas IBM Spectrum Scale is most compared with Red Hat Gluster Storage, Red Hat Ceph Storage and VMware vSAN. See our DataCore SANsymphony SDS vs. IBM Spectrum Scale report.
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Most Helpful Review
Find out what your peers are saying about DataCore SANsymphony SDS vs. IBM Spectrum Scale and other solutions. Updated: July 2019.
360,852 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
During the maintenance periods, on any part of the storage or VMware migration, we have had no downtime.The ability to pool the storage to leverage thin-provisioning is a huge saving in space and costs.Supporting of Automated-Storage-Tiering (AST) is a good feature that saves money.DataCore's ability to seamlessly move virtual volume data between storage pools as well as their synchronous mirroring has made maintenance and disaster recovery planning achievable.DataCore has helped provide flexible, highly available, high-performance storage that otherwise would have been outside our price range.The features I have found most valuable are the active-active, or so-called grid technology, and the integration into our VMware-vCenter.I'd have to say that the biggest improvement gained by using SANsymphony has to be the performance of the product.The most valuable feature for us is that we can adjust the size of the storage very easily, without stopping production.

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It makes our file system sharing a lot easier, even across different continents. We have had file systems shared across different continents with no performance degradation.It has been pretty reliable throughout the years. As far as capacity is concerned, it can handle most heavy loads.We can have multiple systems within the same file system.Technical support has been very helpful. They provide us with pretty good solutions that we can implement moving forward.Allows us to share files across multiple environments.It is incredibly scalable and stable.Its great servicing high availability. That is what it is used for.

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Cons
I think the performance reporting can be improved by adding historical statistics into a database for the purpose of comparing.Having an enterprise "Storage Dashboard" that can show capacity, usage, performance, and any issues would be very beneficial.We are waiting for container support (on the roadmap), as well as a user-friendly full web-administration capability, and an improved API.DataCore needs a more efficient and better way to keep track of metrics and counters so that we can do baseline analysis to measure performance.The cost is becoming prohibitive since they moved to a subscription model.I think an easier way to open a service call, right through the DataCore GUI, would be an improvement, especially when there is an urgent issue.There is no way of quickly matching the exact size of a vDisk to a disk pool.The alert system could have more features.

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Maybe it needs integration with HA.They should probably simply the Red Hat implementation portion. This portion was not as straightforward as I would like it to be.We do have some issues where Spectrum Scale does not work as expected. We have seen our Spectrum Scale servers go down unexpectedly, but because we have a cluster, it does not take out the entire organization.Making it a little easier to add bad file sets would help. There is a transition to how you add storage and how you add a file set, so making that a little smoother would probably be my recommendation.This is probably the biggest challenge, getting everything upgraded, because it just takes time. We wish it was a faster solution to be able to do everything at once, but you have do each node individually. The more nodes, the longer it takes.The main issue that we have now is with the encryption. They want to use more metrics in encryption, which is not working very well.

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Pricing and Cost Advice
This solution allows the use of off-the-shelf hardware and charges by the TB of storage.Make sure you are made aware of the annual subscription cost when purchasing.The cost is at the same level as other storage solutions and it is easy to understand the licensing.The pricing and licensing are better with DataCore.

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Ranking
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4,694
Comparisons
1,486
Reviews
20
Average Words per Review
277
Avg. Rating
9.3
Views
2,887
Comparisons
2,065
Reviews
4
Average Words per Review
416
Avg. Rating
8.5
Top Comparisons
Compared 14% of the time.
Also Known As
DataCore SANsymphony, SANsymphony, DataCore Virtual SAN
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DataCore
IBM
Overview
DataCore™ SANsymphony™ enterprise-class Software-defined Storage (SDS) platform provides a high-performance, highly available and agile storage infrastructure with the lowest Total Cost of Ownership (TCO).IBM Spectrum Scale is a cluster file system that provides concurrent access to a single file system or set of file systems from multiple nodes. The nodes can be SAN attached, network attached, a mixture of SAN attached and network attached, or in a shared nothing cluster configuration. This enables access to this common set of data to support a scale-out solution or to provide a high availability platform. IBM Spectrum Scale has many features beyond common data access including data replication, policy based storage management, and multi-site operations. You can create a cluster of AIX nodes, Linux nodes, Windows server nodes, or a mix of all three. IBM Spectrum Scale can run on virtualized instances providing common data access in environments, leverage logical partitioning, or other hypervisors. Multiple IBM Spectrum Scale clusters can share data within a location or across wide area network (WAN) connections.
Offer
Learn more about DataCore SANsymphony SDS
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Sample Customers
Volkswagen , Maimonides Medical Center, The Biodesign Institute, ISCO Industries, Pee Dee Electric Cooperative, United Financial Credit Union, Derby Supply Chain Solutions, Mission Community Hospital, Bellarmine College Preparatory, Colby-Sawyer College, Mount Sinai Health System, The Royal Institute of International Affairs, Quorn Foods, Bitburger, University of Birmingham, Stadtverwaltung Heidelberg, NetEnt to name a few.
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Top Industries
REVIEWERS
Government23%
Non Profit15%
Manufacturing Company15%
Transportation Company15%
VISITORS READING REVIEWS
Manufacturing Company20%
Outsourcing Company18%
Government18%
Software R&D Company11%
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Find out what your peers are saying about DataCore SANsymphony SDS vs. IBM Spectrum Scale and other solutions. Updated: July 2019.
360,852 professionals have used our research since 2012.
We monitor all Software Defined Storage (SDS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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