Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据来源于从数百万家公司收集的招聘信息。我们在公司网站、招聘网站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，包括他们对内部工具的使用。

Question 2

数据更新的频率是多少？

Accepted Answer

我们每天更新我们的数据，以确保您访问到最当前的信息。这个频繁更新的过程保证了我们的见解和情报能够反映行业内的最新发展和趋势。

Question 3

什么是TiDB？

Accepted Answer

TiDB is an opensource distributed SQL database that is designed to handle both online transaction processing OLTP and online analytical processing OLAP workloads It combines the scalability of NoSQL systems with the ACID compliance of traditional RDBMS offering a hybrid solution for dataintensive applications TiDB uses a sharednothing architecture and horizontal scalability to ensure high availability and performance for largescale datasets

TiDB falls under the category of Databases specifically in the realm of NewSQL databases NewSQL databases aim to provide the scalability and performance of NoSQL databases while maintaining the relational model and transactional capabilities of traditional SQL databases TiDB fits into this category by offering a horizontally scalable distributed database that can handle massive amounts of data across multiple nodes without sacrificing consistency or durability

Founded in 2015 by PingCAP TiDB was created to address the limitations of traditional RDBMS in terms of scalability and performance PingCAPs motivation was to build a database that could meet the needs of modern datadriven applications that require high availability strong consistency and realtime analytics capabilities Over the years TiDB has gained popularity among tech companies ecommerce platforms and other organizations that require a robust and scalable database solution

Currently TiDB holds a significant market share within the NewSQL database category with many organizations adopting it for its distributed capabilities and operational efficiency As data volumes continue to grow the demand for scalable SQL databases like TiDB is expected to rise With ongoing development and enhancements to meet evolving industry needs TiDB is poised to see continued growth in its market share in the foreseeable future

Question 4

如何获取使用TiDB的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 TiDB 的公司更新列表。我们的平台提供一个全面的数据库，其中包括使用各种技术和内部工具的公司。

Question 5

TiDB 有多少客户？

Accepted Answer

截至目前，我们拥有使用TiDB的335家公司数据。

Question 6

谁在使用TiDB?

Accepted Answer

TiDB 被各种行业的多样化组织所使用，包括 "Software Development", "Truck Transportation", "Hospitals and Health Care", "Technology, Information and Internet", "IT Services and IT Consulting", "Software Development", "Government Administration", "Technology, Information and Internet", "Technology, Information and Internet", "Software Development"。要查看使用 TiDB 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用TiDB?

Accepted Answer

一些使用TiDB的公司包括PingCAP, Ninja Van, Smile Tandvård, CTW, Luware, PayPay India, Region Gävleborg, Pinterest, Cash App, ByteDance，以及更多公司。您可以在TheirStack.com上找到使用TiDB的335家公司完整列表。

Question 8

在哪些国家中，TiDB 使用最多？

Accepted Answer

根据我们的数据，TiDB 在 美国 (62 companies), 瑞典 (21 companies), 新加坡 (13 companies), 印度 (12 companies), 英国 (11 companies), 法国 (8 companies), 中国 (8 companies), 日本 (6 companies), 瑞士 (4 companies), 以色列 (3 companies) 最受欢迎。然而，它被世界各地的公司使用。

Question 9

如何找到使用TiDB的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 TiDB 来找到使用该技术的公司。我们跟踪来自数百万家公司的职位发布，并利用它们来发现他们正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

使用TiDB的公司

TiDB 客户按国家/地区分布

如何针对TiDB用户进行定位

美国

瑞典

新加坡

印度

英国

法国

中国

日本

瑞士

以色列

TiDB 替代品和竞争对手

MySQL

Oracle

PostgreSQL

Hadoop

SAP HANA

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)

MemSQL

IndexedDB

YugabyteDB

RocksDB

MangoDB

Scylla

Oracle 11i

Google Cloud Spanner

Exasol

RavenDB

Citus

MapD

Umbra

Heroic

Riak

IBM Informix

Amazon RDS for PostgreSQL

Claris FileMaker

Amazon RDS for SQL Server

Vitess

SAP Sybase

QuestDB

NonStop SQL

Datomic

Greenplum Database