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我们掌握了关于使用MapD的100家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
City of Wichita | 美国 | Government Administration | 1.1K | $10M |
CVS Health | 美国 | Hospitals And Health Care | 300K | $331B |
Bright Health | 美国 | Hospitals And Health Care | 1K | $2.4B |
CenterLight Health System | 美国 | Hospitals And Health Care | 1K | $103M |
Commonwealth Care Alliance | 美国 | Hospitals And Health Care | 1.8K | |
Devoted Health | 美国 | Hospitals And Health Care | 1.3K | $250M |
Prominence Health | 美国 | Hospitals And Health Care | 208 | |
CSG Medicare Pros, LLC | 美国 | Insurance | 5 | $23M |
Coalesce Management Consulting | 英国 | Business Consulting And Services | 145 | |
myPlace Health | 美国 | Hospitals And Health Care | 46 | |
Adobe Care And Wellness LLC | 美国 | It Services And It Consulting | 58 | |
City of Melbourne, FL | 美国 | Government Administration | 310 | $7.1M |
想下载整个列表吗?
注册并下载完整的 100 家公司的列表
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
MapD 被用于 8 个国家
有 103 个 MapD 替代品
115,5k
108k
80,5k
53,3k
35,7k
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19,7k
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11,7k
6,6k
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1,4k
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1,3k
731
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619
543
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常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
MapD is a cutting-edge technology in the realm of databases, known for its lightning-fast query performance and real-time data analytics capabilities. It is designed to handle massive datasets with ease, offering users the ability to interactively explore, visualize, and gain insights from their data in record time. By leveraging the power of GPUs (graphics processing units), MapD significantly accelerates the processing of complex queries and enables near-instantaneous rendering of visualizations.
MapD falls under the category of GPU-accelerated databases, distinguishing itself by harnessing the parallel processing power of GPUs to enhance performance. This category focuses on leveraging GPU technology to accelerate data processing tasks, enabling faster data analytics and real-time querying. MapD enables users to unlock the full potential of their data by providing rapid query responses and advanced visualizations, making it a valuable tool for organizations dealing with large volumes of data.
Founded in 2013 by Todd Mostak and Todd Partridge, MapD originated from the desire to address the growing need for high-performance analytics in the era of big data. The founders recognized the limitations of traditional CPU-based databases in handling massive datasets efficiently and sought to revolutionize data analytics through GPU-accelerated technology. Since its inception, MapD has gained traction in industries requiring real-time analytics and has established itself as a formidable player in the database technology space.
In terms of current market share, MapD has been steadily growing its presence in the GPU-accelerated database market. With an increasing demand for fast data analytics solutions, MapD has positioned itself as a frontrunner in delivering high-speed query capabilities to organizations seeking real-time insights. As the need for instant data processing and visualization continues to rise, MapD is likely to experience further growth in market share, solidifying its position as a key player in the database technology landscape.
MapD is a cutting-edge technology in the realm of databases, offering companies a powerful solution for handling and analyzing large datasets efficiently. With its innovative approach and advanced features, MapD has become a preferred choice for organizations looking to harness the power of data in insightful ways.
MapD stands out for its lightning-fast performance, capable of processing complex queries and rendering visualizations in real-time. Unlike traditional databases that may struggle with speed when dealing with massive datasets, MapD's parallel processing architecture ensures swift and seamless operations, enabling users to derive insights quickly and make data-driven decisions without delays.
One of the key advantages of MapD is its utilization of GPU acceleration, which significantly enhances computational speed and efficiency. By leveraging the immense parallel processing capabilities of GPUs, MapD accelerates data processing tasks, delivering unparalleled performance compared to CPU-dependent technologies. This GPU-centric approach sets MapD apart as a high-performing database solution that excels in handling intensive workloads with ease.
MapD empowers users with interactive data exploration capabilities, allowing for ad-hoc querying and visualization of vast datasets in real-time. Unlike traditional databases that may require pre-aggregated summaries or sampling to enable fast exploration, MapD provides a seamless experience where users can dive deep into data, uncover patterns, and gain valuable insights on the fly. This interactive approach fosters a dynamic and exploratory data analysis process, enabling users to discover actionable intelligence swiftly.
Another notable benefit of MapD is its scalability and flexibility, catering to the evolving needs of businesses dealing with growing data volumes. Whether it's handling terabytes or petabytes of data, MapD's architecture can scale horizontally to accommodate increasing demands, ensuring optimal performance and resource utilization. Additionally, its flexible deployment options, including on-premises and cloud-based solutions, offer organizations the freedom to adapt MapD to their specific infrastructure requirements, making it a versatile choice for diverse use cases.
Some well-known companies that leverage MapD in their data analytics and business operations include Uber, Verizon, and CitiBank.
Uber: Uber implemented MapD to enhance their real-time analytics capabilities, enabling them to process and analyze vast amounts of data from their ride-sharing platform efficiently. They started utilizing MapD in 2017, allowing them to make data-driven decisions rapidly and optimize various aspects of their services, such as route planning, driver allocation, and customer experience.
Verizon: Verizon incorporated MapD into their data infrastructure to improve network performance monitoring and customer service interactions. By utilizing MapD's high-performance database technology, Verizon can analyze network data in real-time, enabling them to identify and address potential issues proactively. They adopted MapD in 2018, resulting in enhanced network reliability and customer satisfaction.
CitiBank: CitiBank adopted MapD to strengthen their data analytics capabilities in the financial sector. By leveraging MapD's database technology, CitiBank can analyze market trends, customer transactions, and risk factors with high speed and accuracy. They started using MapD in 2016, empowering them to make informed decisions promptly, mitigate risks, and capitalize on emerging opportunities in the financial market.
These case studies demonstrate how prominent companies like Uber, Verizon, and CitiBank have successfully integrated MapD into their operations to drive data-driven insights and achieve competitive advantages in their respective industries.
您可以访问 TheirStack.com,获取使用 MapD 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 100 家使用 MapD 的公司的数据。
MapD 被广泛应用于包括 "Government Administration", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Insurance", "Business Consulting And Services", "Hospitals And Health Care" 在内的各个行业的各种组织中。欲了解所有使用 MapD 的行业的完整列表,请访问 TheirStack.com。
一些使用MapD的公司包括City of Wichita, CVS Health, Bright Health, CenterLight Health System, Commonwealth Care Alliance, Devoted Health, Prominence Health, CSG Medicare Pros, LLC, Coalesce Management Consulting, myPlace Health以及更多公司。您可以在TheirStack.com上找到使用MapD的100家公司完整列表。
根据我们的数据,MapD 在 美国 (55 companies), 英国 (5 companies), 阿根廷 (1 companies), 澳大利亚 (1 companies), 法国 (1 companies), 日本 (1 companies), 菲律宾 (1 companies), 西班牙 (1 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索MapD,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。