MooseFS Description
MooseFS represents a revolutionary concept in the Big Data Storage industry. It allows us combine data storage with data processing into a single unit, using commodity hardware. This provides an extremely high ROI. We provide expert advice and professional services for storage solutions, as well as implementations and support for your operations.
MooseFS was launched in 2008 as a spinoff from Gemius, a leading European company that measures internet in more than 20 countries. It has since become one of the world's most sought-after Data storage software. It is still used to store large amounts of data by Gemius' core operations. Over 300 000 events per second are gathered and analyzed every second, 24 hours a day, 7 days a weeks. Any solution we offer to our clients has been tested on a real-life Big Data Analytics work environment.
MooseFS Alternatives
QuantaStor
QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Vexata
The Vexata VX‑100F harnesses the power of NVMe over fabrics (NVMe-oF) to achieve exceptional economic efficiency and transformative performance. By eliminating unnecessary latency associated with the storage controller, the Vexata architecture ensures consistently high performance at scale, significantly enhancing application response times. This performance is particularly crucial for real-time analytics, which demands substantial data ingestion and processing capabilities; the Vexata Accelerated Data Architecture meets these needs by providing increased throughput and quicker response times. Furthermore, Vexata breaks through the conventional cost/performance limitations with a scalable solid-state storage solution designed to boost both application and analytics ecosystems. Additionally, VX-Cloud stands out as the first and only software-defined platform that caters to every stage of Machine Learning, ensuring optimal performance and scalability for cognitive and AI workloads, all while maintaining cloud-scale economics. With these innovations, Vexata is setting a new standard in the data storage landscape.
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Sangfor aStor
Sangfor aStor represents an innovative software-defined storage solution that consolidates block, file, and object storage into a cohesive, elastically scalable resource pool, utilizing a fully symmetrical distributed architecture to facilitate on-demand provisioning of high-performance and cost-effective storage tiers tailored to various service needs. It can be deployed as either an integrated hardware-software system or as standalone software, with the ability to scale from a minimal setup of three commodity x86 nodes to expansive cloud-scale clusters comprising thousands of nodes, allowing for EB-level capacity growth. The system's multi-node parallel processing and intelligent caching mechanisms—including RDMA, SSD hot-data caching, and layering—achieve exceptional throughput, IOPS, and performance with small I/O operations, significantly enhancing cache hit rates to 90% and improving small I/O processing by as much as 65%. Additionally, its distributed metadata management ensures the seamless handling of billions of files without any significant latency, making it a robust solution for modern storage challenges. Overall, Sangfor aStor stands out as a versatile and powerful option for organizations looking to optimize their storage infrastructure.
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Pricing
Pricing Starts At:
$/TiB based on scale
Free Version:
Yes
Free Trial:
Yes
Integrations
Company Details
Company:
Saglabs SA
Year Founded:
2001
Headquarters:
Poland
Website:
moosefs.com
Media
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Product Details
Platforms
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
MooseFS Features and Options
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