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Google Cloud Spanner?

Accepted Answer

Google Cloud Spanner is a globally distributed horizontally scalable and strongly consistent database service provided by Google Cloud It combines the benefits of traditional relational databases with the scalability and performance of NoSQL databases Google Cloud Spanner is designed to handle missioncritical applications that require high availability and global scale without sacrificing consistency It offers features like automatic sharding replication and ACID transactions making it suitable for a wide range of use cases

Google Cloud Spanner falls under the category of Databases specifically as a NewSQL database NewSQL databases aim to provide the scalability of NoSQL databases while maintaining the ACID compliance and relational data model of traditional SQL databases Google Cloud Spanner fits into this category by offering horizontal scalability strong consistency and global distribution capabilities that traditional SQL databases often lack making it a popular choice for organizations with complex and distributed data needs

Google Cloud Spanner was introduced by Google in 2017 as a commercial product after being used internally for several years It was developed by a team led by Jeff Dean and Urs Hlzle at Google with the motivation to address the limitations of existing databases in terms of scalability consistency and global availability By leveraging Googles expertise in distributed systems and infrastructure they aimed to create a database that could meet the demands of modern cloudbased applications

As of the latest data available Google Cloud Spanner holds a significant market share within the NewSQL database category with a growing trend expected to continue in the future The increasing adoption of cloudnative architectures the demand for globally distributed databases and the need for horizontally scalable solutions are driving the growth of Google Cloud Spanner in the market With Googles continued investment in the platform and enhancements in functionalities Google Cloud Spanner is poised to maintain and expand its market share in the database landscape

Question 4

如何获得使用Google Cloud Spanner的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Google Cloud Spanner 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

Google Cloud Spanner 有多少客户？

Accepted Answer

截至目前，我们拥有关于 327 家使用 Google Cloud Spanner 的公司的数据。

Question 6

谁在使用Google Cloud Spanner?

Accepted Answer

Google Cloud Spanner 被广泛应用于包括 "IT Services and IT Consulting", "Computer and Network Security", "Motor Vehicle Manufacturing", "Staffing and Recruiting", "Software Development", "Software Development", "Financial Services", "Technology, Information and Internet", "IT Services and IT Consulting", "Truck Transportation" 在内的各个行业的各种组织中。欲了解所有使用 Google Cloud Spanner 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Google Cloud Spanner?

Accepted Answer

一些使用Google Cloud Spanner的公司包括Globant, Exabeam, Ford Motor Company, Top Remote Talent, Zendesk, Mapbox, Paystone, Air Apps, Info Support, DPD UK以及更多公司。您可以在TheirStack.com上找到使用Google Cloud Spanner的327家公司完整列表。

Question 8

哪些国家使用Google Cloud Spanner最多？

Accepted Answer

根据我们的数据，Google Cloud Spanner 在 美国 (142 companies), 印度 (19 companies), 英国 (16 companies), 法国 (7 companies), 加拿大 (6 companies), 德国 (6 companies), 波兰 (4 companies), 巴西 (4 companies), 意大利 (2 companies), 马来西亚 (2 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Google Cloud Spanner的公司？

Accepted Answer

您可以在TheirStack.com上搜索Google Cloud Spanner，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 Google Cloud Spanner 的公司

如何针对Google Cloud Spanner用户进行定位

Google Cloud Spanner 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

Badger

Firebird

GraphDb

CockroachDB

Apache Parquet

ScyllaDB

Amazon Relational Database Service (RDS)

MemSQL

IndexedDB

MangoDB

RocksDB

YugabyteDB

Scylla

Oracle 11i

Exasol

RavenDB

TiDB

MapD

Citus

Heroic

Umbra

IBM Informix

Riak

Amazon RDS for PostgreSQL

Claris FileMaker

Amazon RDS for SQL Server

SAP Sybase

Vitess

Datomic

NonStop SQL

Greenplum Database

LevelDB