Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是MapD？

Accepted Answer

MapD is a cuttingedge technology in the realm of databases known for its lightningfast query performance and realtime 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 nearinstantaneous rendering of visualizations

MapD falls under the category of GPUaccelerated 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 realtime 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 highperformance analytics in the era of big data The founders recognized the limitations of traditional CPUbased databases in handling massive datasets efficiently and sought to revolutionize data analytics through GPUaccelerated technology Since its inception MapD has gained traction in industries requiring realtime 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 GPUaccelerated database market With an increasing demand for fast data analytics solutions MapD has positioned itself as a frontrunner in delivering highspeed query capabilities to organizations seeking realtime 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

Question 4

如何获取使用MapD的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 MapD 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

MapD 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用MapD的274家公司的数据。

Question 6

谁在使用MapD？

Accepted Answer

MapD 被广泛应用于各行各业的各类组织，包括 "Hospitals and Health Care", "Insurance Agencies and Brokerages", "Insurance Agencies and Brokerages", "Hospitals and Health Care", "Hospitals and Health Care", "Government Administration", "Insurance", "Hospitals and Health Care", "Hospitals and Health Care", "Automation Machinery Manufacturing"。如需查看使用 MapD 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用MapD？

Accepted Answer

使用MapD的公司包括UnitedHealthcare, Exact Medicare, Peak Plans LLC, Longevity Health, Devoted Health, City of Wichita, Clever Care Health Plan, San Francisco Health Plan, Alignment Health, Renishaw Sp. z o.o. (Renishaw Polska)等更多公司。你可以在TheirStack.com上找到使用MapD的274家公司的完整列表。

Question 8

在哪些国家 MapD 使用得最多？

Accepted Answer

根据我们的数据，MapD 在 美国 (122 companies), 英国 (10 companies), 瑞士 (2 companies), 法国 (2 companies), 爱尔兰 (1 companies), 澳大利亚 (1 companies), 菲律宾 (1 companies), 阿根廷 (1 companies), 挪威 (1 companies), 加拿大 (1 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用MapD的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 MapD，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

公司	国家	行业	员工	收入	技术
UnitedHealthcare	美国	Hospitals and Health Care	16k	$250B	MapD
Exact Medicare	美国	Insurance Agencies and Brokerages	501		MapD
Peak Plans LLC	美国	Insurance Agencies and Brokerages	17		MapD
Longevity Health	美国	Hospitals and Health Care	501
Devoted Health	美国	Hospitals and Health Care	2k	$250M	MapD
City of Wichita	美国	Government Administration	1.1k	$10M	MapD
Clever Care Health Plan	美国	Insurance	170	$8M
San Francisco Health Plan	美国	Hospitals and Health Care	425	$8M
Alignment Health	美国	Hospitals and Health Care	1k	$1.2B
Renishaw Sp. z o.o. (Renishaw Polska)	波兰	Automation Machinery Manufacturing	12

使用 MapD 的公司

如何定位MapD用户

MapD 的替代方案与竞争对手

MySQL

Oracle

PostgreSQL

SAP HANA

Hadoop

MSSQL

Cassandra

Oracle Database

MariaDB

Amazon Aurora

SQLite

Azure SQL Database

Sybase

HBase

Noms

InfluxDB

IBM DB2

TimescaleDB

GraphDb

Badger

Firebird

CockroachDB

Apache Parquet

ScyllaDB

Amazon Relational Database Service (RDS)

IndexedDB

MemSQL

YugabyteDB

RocksDB

MangoDB

Scylla

Oracle 11i

Google Cloud Spanner

Exasol

TiDB

RavenDB

Citus

Umbra

Heroic

Amazon RDS for PostgreSQL

Riak

IBM Informix

Claris FileMaker

Amazon RDS for SQL Server

Vitess

SAP Sybase

QuestDB

NonStop SQL

Datomic

Greenplum Database

MapD 客户按国家划分

美国

英国

瑞士

法国

爱尔兰

澳大利亚

菲律宾

阿根廷

挪威

加拿大

这些数据的来源是什么？

这些数据的来源是什么？

数据多久更新一次？

数据多久更新一次？

什么是MapD？

什么是MapD？

如何获取使用MapD的公司的最新列表？

如何获取使用MapD的公司的最新列表？

MapD 有多少客户？

MapD 有多少客户？

谁在使用MapD？

谁在使用MapD？

哪些公司使用MapD？

哪些公司使用MapD？

在哪些国家 MapD 使用得最多？

在哪些国家 MapD 使用得最多？