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Datomic?

Accepted Answer

Datomic is a unique database management system that falls under the category of Databases It is known for its innovative approach to handling data utilizing a log of immutable facts to allow for full auditability and traceability of all changes Unlike traditional databases that store mutable state Datomic treats information as a series of immutable facts over time offering a fresh perspective on data management for modern applications

Founded in 2012 by Rich Hickey the creator of the Clojure programming language Datomic was motivated by the need for a database system that embraced the principles of functional programming and immutability Hickey aimed to address the challenges faced by developers in managing complex data systems efficiently With its emphasis on timetraveling queries and data as values Datomic introduced a paradigm shift in the way data is handled within applications

In terms of current market share Datomic holds a niche position within the database category attracting users seeking a robust solution for managing data with a focus on immutability and auditability While its market share is relatively small compared to more mainstream database systems Datomic has a dedicated user base that values its unique features Looking ahead the future growth of Datomic may depend on its ability to continue innovating and addressing the evolving needs of developers and businesses in an increasingly datadriven world

Question 4

如何获得使用Datomic的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Datomic 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

Datomic 有多少客户？

Accepted Answer

截至目前，我们拥有关于 100 家使用 Datomic 的公司的数据。

Question 6

谁在使用Datomic?

Accepted Answer

Datomic 被广泛应用于包括 "Financial Services", "Medical And Diagnostic Laboratories", "Software Development", "It Services And It Consulting", "Financial Services", "E-Learning Providers", "Education Administration Programs", "Software Development", "It Services And It Consulting", "Banking" 在内的各个行业的各种组织中。欲了解所有使用 Datomic 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Datomic?

Accepted Answer

一些使用Datomic的公司包括Nubank, Medical Database, Inc, Shortcut, Kinly, Railsr, Cognician, Swing Education, Cvent, Mint-Technologies, Griffin以及更多公司。您可以在TheirStack.com上找到使用Datomic的100家公司完整列表。

Question 8

哪些国家使用Datomic最多？

Accepted Answer

根据我们的数据，Datomic 在 美国 (50 companies), 巴西 (7 companies), 英国 (5 companies), 印度 (3 companies), 德国 (2 companies), 荷兰 (2 companies), 挪威 (2 companies), 哥伦比亚 (1 companies), 日本 (1 companies), 新加坡 (1 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Datomic的公司？

Accepted Answer

您可以在TheirStack.com上搜索Datomic，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
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	雇员	收入	技术
Nubank	巴西	Financial Services	10K	$737M	Datomic
Medical Database, Inc		Medical And Diagnostic Laboratories			Datomic
Shortcut	美国	Software Development	69	$6.6M	Datomic
Kinly	荷兰	It Services And It Consulting	1K	$283M	Datomic
Railsr		Financial Services	370	$40M	Datomic
Cognician	美国	E-Learning Providers	75	$122K	Datomic
Swing Education	美国	Education Administration Programs	1.1K	$310K	Datomic
Cvent	美国	Software Development	1K	$12M	Datomic
Mint-Technologies	美国	It Services And It Consulting	14		Datomic
Griffin	英国	Banking	115		Datomic

使用 Datomic 的公司

如何针对Datomic用户进行定位

使用 Datomic 的公司

如何针对Datomic用户进行定位

Datomic 替代品和竞争对手

MySQL

Oracle

PostgreSQL

Hadoop

MSSQL

Cassandra

Oracle Database

MariaDB

Amazon Aurora

SAP HANA

SQLite

Azure SQL Database

Sybase

HBase

Noms

InfluxDB

IBM DB2

Firebird

Badger

GraphDb

TimescaleDB

CockroachDB

Apache Parquet

Amazon Relational Database Service (RDS)

ScyllaDB

MemSQL

Oracle 11i

MangoDB

Scylla

Exasol

YugabyteDB

RocksDB

IndexedDB

RavenDB

Google Cloud Spanner

Riak

Citus

Heroic

IBM Informix

MapD

TiDB

Umbra

SAP Sybase

Claris FileMaker

Vitess

Amazon RDS for PostgreSQL

Greenplum Database

Amazon QLDB

LevelDB

Amazon RDS for SQL Server