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Apache Impala?

Accepted Answer

Apache Impala is a highperformance distributed SQL query engine for processing big data workloads It is an opensource tool designed to provide interactive and realtime analytics capabilities on massive datasets stored in Hadoop Distributed File System HDFS or Apache HBase Apache Impala is known for its scalability lowlatency query execution and native integration with Apache Hadoop ecosystem components making it a popular choice for organizations dealing with large volumes of data

Apache Impala falls under the category of Big Data Tools specifically catering to the need for fast and interactive SQL queries on big data sets It enables users to run complex queries on largescale data in realtime without the need for data movement or transformation thereby streamlining the analytical process Apache Impalas inmemory processing and massively parallel processing MPP architecture contribute to its performance and efficiency in handling big data workloads effectively

Apache Impala was founded in 2012 by Cloudera a software company specializing in big data solutions and services The motivation behind creating Apache Impala was to address the limitations of traditional batch processing frameworks in Apache Hadoop for interactive analytics use cases By providing a way to run SQL queries natively on Hadoop data storage Apache Impala aimed to bridge the gap between data processing and analytics offering users a faster and more seamless experience in extracting insights from their big data repositories

Currently Apache Impala holds a significant market share within the Big Data Tools category thanks to its robust performance and compatibility with popular data storage systems like HDFS and HBase With the increasing adoption of big data analytics and the growing demand for realtime processing capabilities Apache Impala is poised to see further growth in the market in the coming years Its ability to handle complex queries at lightning speed makes it a valuable asset for organizations looking to derive actionable insights from their massive data sets efficiently and effectively

Question 4

如何获得使用Apache Impala的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Apache Impala 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

Apache Impala 有多少客户？

Accepted Answer

截至目前，我们拥有关于 435 家使用 Apache Impala 的公司的数据。

Question 6

谁在使用Apache Impala?

Accepted Answer

Apache Impala 被广泛应用于包括 "Software Development", "Biotechnology Research", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Banking", "Financial Services", "Financial Services", "It Services And It Consulting" 在内的各个行业的各种组织中。欲了解所有使用 Apache Impala 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Apache Impala?

Accepted Answer

一些使用Apache Impala的公司包括Cloudera, ICON plc, Yieldlab AG, EY, Amadeus, BairesDev, Bank of America, Deutsche Bank, Citi, Virtusa以及更多公司。您可以在TheirStack.com上找到使用Apache Impala的435家公司完整列表。

Question 8

哪些国家使用Apache Impala最多？

Accepted Answer

根据我们的数据，Apache Impala 在 美国 (131 companies), 西班牙 (22 companies), 英国 (20 companies), 印度 (17 companies), 德国 (15 companies), 法国 (9 companies), 加拿大 (7 companies), 新加坡 (7 companies), 巴西 (6 companies), 澳大利亚 (5 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Apache Impala的公司？

Accepted Answer

您可以在TheirStack.com上搜索Apache Impala，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
Cloudera	美国	Software Development	3.1K	$905M	Apache Impala
ICON plc	爱尔兰	Biotechnology Research	36K	$7.7B	Apache Impala
Yieldlab AG	德国			$120K	Apache Impala
EY	英国	It Services And It Consulting	361K	$45B	Apache Impala
Amadeus	西班牙	It Services And It Consulting	18K	$4.3B	Apache Impala
BairesDev	美国	It Services And It Consulting	3.3K	$105M	Apache Impala
Bank of America	美国	Banking	215K		Apache Impala
Deutsche Bank	德国	Financial Services	85K	$29B	Apache Impala
Citi	美国	Financial Services	200K	$75B	Apache Impala
Virtusa	美国	It Services And It Consulting	10K		Apache Impala

使用 Apache Impala 的公司

如何针对Apache Impala用户进行定位

使用 Apache Impala 的公司

如何针对Apache Impala用户进行定位

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Apache Impala?

什么是Apache Impala?

如何获得使用Apache Impala的公司的最新列表？

如何获得使用Apache Impala的公司的最新列表？

Apache Impala 有多少客户？

Apache Impala 有多少客户？

谁在使用Apache Impala?

谁在使用Apache Impala?

哪些公司使用Apache Impala?

哪些公司使用Apache Impala?

哪些国家使用Apache Impala最多？

哪些国家使用Apache Impala最多？

如何找到使用Apache Impala的公司？

如何找到使用Apache Impala的公司？

Apache Impala 替代品和竞争对手

JavaScript

Python

Java

Processing

PHP

C#

C++

HTML5

Microsoft TypeScript

XML

JSON

CSS 3

ASP.NET

Ruby

Golang

Swift

Kotlin

MATLAB

Perl

Scala

Visual Basic

ES6

Objective-C

Rust

Groovy

Bel

Dart

YAML

Arc

Java EE

COBOL

VBScript

JCL

Elm

ECMAScript

ceph

Elixir

Nim

Julia

.NETCore

Pascal

Hack

Unison

Clio

Helix

AWK

JSX

Haskell

Clojure

Emu

使用Apache Impala的公司所在国家

美国

西班牙

英国

印度

德国

法国