Question 1

这些数据的来源是什么?

Accepted Answer

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。

Question 2

数据多久更新一次?

Accepted Answer

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。

Question 3

什么是DuckDB?

Accepted Answer

DuckDB is a modern analytical SQL database management system that is gaining attention for its speed and efficiency It is designed to handle complex analytical queries on large volumes of data with impressive performance DuckDB is known for its vectorized query execution engine which allows it to efficiently process data in batches leading to faster query processing times compared to traditional rowbased approaches

In the category of Databases DuckDB stands out as a lightweight yet powerful solution for data analytics and querying tasks It caters to users looking for a database management system that can handle analytical workloads effectively while maintaining high performance standards DuckDB is particularly suitable for scenarios where fast query processing is crucial such as data analysis business intelligence and data exploration

Founded in 2018 by the team at CWI Centrum Wiskunde  Informatica in the Netherlands DuckDB was motivated by the need for a database system that could deliver exceptional performance for analytical workloads The developers aimed to create a versatile tool that could efficiently process complex queries on large datasets without compromising speed or resource utilization Since its inception DuckDB has been continuously evolving with regular updates and enhancements to meet the growing demands of datadriven businesses

As for its current market share within the database category DuckDB has been steadily gaining traction among data professionals and organizations seeking highperformance database solutions With its focus on speed and efficiency DuckDB has garnered a dedicated user base and is increasingly being adopted in various industries for analytical tasks Looking ahead the forecast for DuckDB appears positive with the potential for further growth as more users recognize the benefits it offers in terms of query performance and data analysis capabilities

Question 4

如何获得使用DuckDB的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 DuckDB 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。

Question 5

DuckDB 有多少客户？

Accepted Answer

截至目前，我们拥有关于 906 家使用 DuckDB 的公司的数据。

Question 6

谁在使用DuckDB?

Accepted Answer

DuckDB 被广泛应用于包括 "Investment Management", "Advertising Services", "Aviation and Aerospace Component Manufacturing", "Software Development", "Software Development", "Software Development", "Financial Services", "Hospitals and Health Care", "Data Infrastructure and Analytics", "Technology, Information and Media" 在内的各个行业的各种组织中。欲了解所有使用 DuckDB 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用DuckDB?

Accepted Answer

一些使用DuckDB的公司包括EIG, MV Group, Relativity Space, Nominal, Doxel, Raft, The Voleon Group, Trilliant Health, MotherDuck, Ekimetrics以及更多公司。您可以在TheirStack.com上找到使用DuckDB的906家公司完整列表。

Question 8

哪些国家使用DuckDB最多？

Accepted Answer

根据我们的数据，DuckDB 在 美国 (264 companies), 英国 (71 companies), 法国 (38 companies), 德国 (31 companies), 瑞士 (28 companies), 荷兰 (20 companies), 西班牙 (16 companies), 加拿大 (15 companies), 比利时 (14 companies), 澳大利亚 (13 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用DuckDB的公司？

Accepted Answer

您可以在TheirStack.com上搜索DuckDB，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。

Company	Country	Industry	Employees	Revenue
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使用 DuckDB 的公司

如何针对DuckDB用户进行定位

DuckDB 替代品和竞争对手

Microsoft Access

Microsoft SQL Server

Amazon RDS

Microsoft Intune

Azure SQL

Azure Cosmos DB

Presto

Timescale

Microsoft Transact-SQL

Oracle Forms

Microsoft SQL Server 2012

Microsoft SQL Server 2008

Oracle 12c

Microsoft SQL Server Management Studio

Google Cloud SQL

Microsoft SQL Server 2014

MongoDB Atlas

Amazon DocumentDB

Oracle 10g

Microsoft SQL Server 2005

Azure SQL Managed Instance

Microsoft FoxPro

Apache Ignite

Oracle Database 19c

Cloud Firestore

Microsoft SQL Server 2000

Oracle Real Application Clusters

Oracle Unified Directory

Event Store

Azure Database for PostgreSQL

Oracle Autonomous Database

Teradata Database

Oracle Internet Directory

Amazon Timestream

Yugabyte

Oracle Database Security

Oracle Coherence

Oracle NoSQL

Oracle Partitioning

Microsoft SQL Server Business Intelligence

Firebase Realtime Database

Oracle Multitenant

Oracle Database Appliance

Amazon RDS for Oracle

Oracle 8i

Azure Database for MySQL

AWS Schema Conversion Tool

IBM IMS

ImportOmatic

Oracle Database Vault