New York, 10010, NY,
United States
M Science Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by M Science and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 M Science employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that M Science has purchased the following applications: DataCore SANsymphony for Cloud Storage in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems M Science is running and its propensity to invest more and deepen its relationship with DataCore Software or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing M Science revenues, which have grown to $57.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for M Science intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| DataCore Software | Legacy | DataCore SANsymphony | Cloud Storage | IaaS | n/a | 2024 | 2024 |
In 2024, M Science implemented DataCore SANsymphony as a core component of its Cloud Storage stack. The deployment was designed to provide virtualized block storage and centralized volume management for IT infrastructure that supports analytics and BI workloads in the United States, and it sits alongside M Science’s use of Delta Lake UniForm within its analytics/BI data platform to write a single copy of data queryable by Delta or Iceberg compatible engines as cited by the company CTO.
The DataCore SANsymphony implementation emphasized storage virtualization, logical storage pools, thin provisioning, snapshot capability, and replication, reflecting common Cloud Storage functional modules for high availability and efficient capacity utilization. Configuration focused on presenting SAN services to analytics compute clusters and application servers, with SANsymphony management used for orchestration, monitoring, and policy-driven data placement.
Operational ownership resides with infrastructure and platform engineering teams, with rollout scoped to US sites supporting analytics and BI business functions. Governance practices documented storage provisioning workflows, volume lifecycle change control, and snapshot retention policies to align with analytics data retention requirements.
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