OmniSci Strengths, Domain Expertise, and Key Differentiators
OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs and CPUs, the platform is available in the cloud (OmniSci Cloud and leading public cloud providers) and on-premise (OmniSci Core and Enterprise Edition).
OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures.
OmniSci Recent Developments
In December 2019 Omnisci released version 5.0 which provides new Data Fusion and integrated Data Science capabilities, along with significant performance improvements in the core platform. These enable users to quickly fuse data and seamlessly switch between visual exploration and data science workflows to extract deeper insights, even more quickly than before.
In October 2019, OmniSci has Introduced a CPU driven version of the OmniSci Enterprise Edition which comes as an addition to the GPU accelerated version. It also announced a collaboration with Intel to improve the performance of its Accelerated Analytics Platform.
OmniSci Customers in ARTW Customer Database
Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying OmniSci applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of OmniSci and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified OmniSci customers.
Ownership: - x
Number of Employees: 105
Functional Markets: Analytics and BI,
OmniSci Key Enterprise and Cloud Applications
OmniSci Revenues, $M:
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|Enterprise Applications Revenues, $M||Subscribe||Subscribe||Subscribe|
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* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.
OmniSci Revenue Breakdown By Type, $M:
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OmniSci Enterprise Applications Revenues By Functional Markets, $M:
OmniSci Enterprise Applications Revenues By Verticals, $M:
OmniSci Revenues By Region, $M
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OmniSci Direct vs Indirect sales
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OmniSci Customers - Breakdown by Geo, Size, Vertical and Product
No. of OmniSci Customers: 5000
No. of OmniSci Enterprise Applications Customers: 5000
No. of OmniSci Cloud Customers: 5000
No. of OmniSci Cloud Subscribers: x
Since its launch in 2018, OmniSci Cloud has gained nearly 4,000 corporate, academic, scientific, and governmental users worldwide. Over 1,500 dashboards have been created, with upwards of 8,000 big data files imported. The company has logged use cases in areas such as telco, oil & gas, automotive, retail analytics, real estate analytics, utilities, delivery and logistics, rideshare, and governments at all levels.
Coming on the heels of business expansion to the EMEA region, a new San Francisco headquarters, growth with over 5,000 enterprise, community and cloud users, and groundbreaking collaboration with Intel, Converge 2019 firmly established OmniSci as a pioneer in big data analytics.
Among OmniSci customers are : Global Telco, Tutela, Skyhook, Charter, Pfizer, Pactriglo, and many others.
OmniSci Market Opportunities, M&A and Geo Expansions
In April 2020 Omnisci expanded its business to Asia, the next step in meeting the intensifying global demand for the company’s analytics capabilities. Based in Singapore, OmniSci’s new sales and field engineering team will provide complete local support for current and prospective enterprise, governmental, and academic customers.
Initially focused on Japan, Singapore, Indonesia, Malaysia, Philippines, Thailand, and India, OmniSci’s Asia initiatives will be led by Joseph (Joe) Lee as Vice President of Global Sales. Lee, an accomplished enterprise software sales executive with strong experience serving APAC markets, will be joined by Herfini Haryono as Vice President, Industry Verticals, along with a Singapore-based field support team.
In October 2019, OmniSci, launched OmniSci 5.0, a major step forward in making analytics instant, powerful and effortless for everyone available later this year. Users will be able to quickly and easily augment their existing datasets in OmniSci, with external data from partners and public data sources, providing greater analytical breadth and perspective.
In the same month in 2019, OmniSci made a collaboration with Intel to further improve the already impressive performance of the OmniSci platform running on Intel architecture. The announcement coincides with the launch of a CPU version of OmniSci Enterprise Edition, allowing OmniSci's proven innovations in interactive analytics, data science and location intelligence at scale, to reach a bigger audience of data scientists and analysts than ever before.
In April 2019, OmniSci, the pioneer in GPU-accelerated analytics, today make a promotion of Grant Halloran to a chief commercial officer, a new position.
OmniSci is backed by preeminent venture capital firms and strategic investors: Google Ventures, In-Q-Tel, NEA, NVIDIA, Tiger Global Management, Vanedge Capital, and Verizon Ventures.
OmniSci Risks and Challenges
Migrating many of its customers, to the Cloud could be key to its long-term success.
OmniSci Ecosystem, Partners, Resellers and SI
OmniSci Technology Partners collaborate to integrate their products with OmniSci and jointly develop and evangelize GTM programs and messaging. This includes Public Cloud Partners, OEM Hardware Partners, and other 3rd parties.
OmniSci provides Reseller Partners with a disruptive technology that can accelerate your business and increase your revenue. Systems Integrator (SI) Partners help design, develop, and deploy OmniSci's GPU-accelerated analytics platform for projects with their clients. Current OmniSci Partners: Google Cloud, NVIDIA, AWS, IBM, Center for Geographic Analysis at Harvard University, Core Scientific, Sirrascale cloud services, BOX, and many others.
OmniSci Cloud Infrastructure Insights
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- OmniSci Public Cloud and Infrastructure (IaaS)
- OmniSci Platform (PaaS)
- OmniSci Application Delivery
- OmniSci Private Cloud and Data Centers
Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.
Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).
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