Predictable storage performance for database workloads

Support your data model with flexible, scalable, and predictable storage performance

SolidFire’s unique Quality of Service architecture is the critical missing link to delivering predictable performance from a shared storage infrastructure. SolidFire ensures that both SQL and NoSQL (e.g. MongoDB) database workloads get the resources they need to run properly without the capex and opex burden of dedicated hardware. Now you can mold a single shared storage platform to meet the unique capacity and performance demands of each of your database architectures.

Hello database consolidation. Goodbye storage silos.

Remove complexity from your database IT infrastructure

SolidFire’s Quality of Service enables you to confidently consolidate multiple databases and secondary copies on a single storage platform. Start reducing cost and complexity with SolidFire’s independent capacity and performance pools and no impact scaling, ensuring all your databases are receiving optimized storage resources.


Database Partners


SolidFire is uniquely suited to run a variety of Oracle database workloads - from OLTP, DSS, heavily indexed VLDB all the way to backup and disaster recovery copies - and is the only storage system that can guarantee performance to each and every Oracle database volume.

Oracle Datasheet →
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SolidFire’s scale-out architecture and guaranteed Quality of Service (QoS) are a perfect fit for consolidating multiple MySQL databases and database copies. Facilitate multi-petabyte scale in a horizontal and non-disruptive fashion while guaranteeing QoS for each and every data volume.

MySQL Solution Brief →
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Microsoft SQL Server

SolidFire is well-suited to run a variety of Microsoft SQL Server workloads. SolidFire gives DBAs unmatched flexibility to change database volume characteristics on the fly and provides a single platform on which to consolidate tens to hundreds of databases.

Microsoft SQL Solution Brief →
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SolidFire is the only storage system that combines dynamic performance control with the simplicity and scalability delivered in a MongoDB environment.

MongoDB Datasheet →
YCSB Testing Results →
Performance Benchmark Paper →
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