OmniSci Among Cloud Top 500

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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

‍OmniSci has expanded to Asia, the next step in meeting the intensifying global demand for the company’s analytics capabilities. OmniSci’s new sales and field engineering team, based in Singapore, will provide complete local support for current and prospective enterprise, governmental and academic customers.

Omnisci has 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.

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 platform, OmniSci Cloud customers.

OmniSci Key Enterprise and Cloud Applications

OmniSci platform, OmniSci Cloud

OmniSci Revenues, $M:

Type/Year20192020YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
Enterprise Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud Applications Revenues, $M Subscribe Subscribe Subscribe

* 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:

TypeLicenseProf. ServicesHardwareSupport & MaintenanceSaaSPaaSIaaSOther (Non Enterprise Application Revenues)Total
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe 100%
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe

OmniSci Revenues By Region, $M

Region% of Total Revenues2020 Total Revenues, $M2020 Enterprise Applications Revenues, $M2020 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

OmniSci Direct vs Indirect sales

RegionDirect SalesIndirect SalesTotal
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

OmniSci Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified OmniSci Customers

No. of OmniSci Customers: x

No. of OmniSci Enterprise Applications Customers: x

No. of OmniSci Cloud Customers: x

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. Among OmniSci customers are : Global Telco, Tutela, Skyhook, Charter, Pfizer, Pactriglo, and many others.

OmniSci Market Opportunities, M&A and Geo Expansions

OmniSci recently released OmniSci Free, a full-featured version of its analytics platform available for use at no cost. OmniSci free will enable users to utilize the full power of the OmniSci Analytics Platform, which includes OmniSciDB, OmniSci Render Engine, OmniSci Immerse, and the OmniSci Data Science Toolkit. The launch of OmniSci Free is their latest step towards making the platform accessible to an even broader audience.

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.

After collaboration with Intel to improve the performance of the OmniSci platform running on Intel architecture, OmniSci has 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.

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

In 2021, Jon Kondo joined the company as Chief Executive Officer. Working alongside OmniSci co-founder and former CEO Todd Mostak, who becomes chief technical officer, Kondo will lead the company into its next phase of growth as an innovator in making big data analytics instant and effortless. Additionally, they have promoted Pey Silvester to Vice President of Engineering, and she will lead all aspects of further product development. This transition in their leadership could drive to a different Market strategy and goals.

OmniSci Ecosystem, Partners, Resellers and SI

OmniSci collaborates with technology partners to integrate the latest modern GPU & CPU hardware to bring optimized, accelerated analytics at scale experience to all users. Their technology partners include public & private cloud partners, hardware & OEM hardware partners, and other technologies.

OmniSci has partnered with Semantix, a Brazilian company for big data, analytics, artificial intelligence, and quantum computing solutions.

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

Research Methodology

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).

For additional information on our methodologies, here's the link: Us

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