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 Parquet?

Accepted Answer

Apache Parquet is a columnar storage file format that is specifically designed for big data processing frameworks such as Apache Hadoop It provides efficient storage and encoding of data that allows for high levels of compression and encoding schemes to be used resulting in improved query performance over large datasets With its ability to support complex nested data structures and efficient data encoding techniques Apache Parquet has become a popular choice for storing and processing data in big data environments

In the realm of Databases Apache Parquet plays a crucial role in enhancing the performance and efficiency of data storage and processing By organizing data into columns rather than rows Parquet allows for more efficient data retrieval and query processing making it ideal for analytical workloads where specific columns are often accessed more frequently The columnar storage format of Parquet also enables better compression and encoding techniques leading to reduced storage requirements and faster query performance

Apache Parquet was originally developed by the engineers at Cloudera and Twitter in 2013 as an opensource project under the Apache Software Foundation The motivation behind creating Parquet was to address the need for a columnar storage format that could efficiently handle the growing volumes of data generated by big data applications Since its inception Apache Parquet has gained significant adoption in the big data ecosystem due to its performance benefits and compatibility with various data processing frameworks

In terms of current market share Apache Parquet has established itself as a key player in the columnar storage space within the Databases category Its efficient storage and query capabilities have made it a preferred choice for organizations dealing with largescale data processing and analytics With the ongoing trend towards big data adoption and the increasing demand for highperformance data processing solutions the market share of Apache Parquet is expected to grow further as more companies leverage its benefits for their data storage and processing needs

Question 4

如何获得使用Apache Parquet的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Apache Parquet 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 Parquet 有多少客户？

Accepted Answer

截至目前，我们拥有关于 479 家使用 Apache Parquet 的公司的数据。

Question 6

谁在使用Apache Parquet?

Accepted Answer

Apache Parquet 被广泛应用于包括 "Software Development", "Entertainment Providers", "Software Development", "Environmental Services", "Software Development", "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 Apache Parquet 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Apache Parquet?

Accepted Answer

一些使用Apache Parquet的公司包括Grupo QuintoAndar, EvolutionIQ, Mind Foundry Limited, Channel 99, Inc., Unlikely AI, AgriCapture, Snowflake, Dremio, Reqiva Ltd, RBC以及更多公司。您可以在TheirStack.com上找到使用Apache Parquet的479家公司完整列表。

Question 8

哪些国家使用Apache Parquet最多？

Accepted Answer

根据我们的数据，Apache Parquet 在 美国 (197 companies), 英国 (35 companies), 印度 (13 companies), 西班牙 (13 companies), 法国 (12 companies), 德国 (9 companies), 澳大利亚 (8 companies), 加拿大 (8 companies), 瑞士 (5 companies), 巴西 (4 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 Parquet的公司？

Accepted Answer

您可以在TheirStack.com上搜索Apache Parquet，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
Grupo QuintoAndar					Apache Parquet
EvolutionIQ	美国	Software Development	170		Apache Parquet
Mind Foundry Limited					Apache Parquet
Channel 99, Inc.	美国	Entertainment Providers			Apache Parquet
Unlikely AI	英国	Software Development			Apache Parquet
AgriCapture	美国	Environmental Services	22		Apache Parquet
Snowflake	美国	Software Development	8.8K	$1.9B	Apache Parquet
Dremio	美国	Software Development	368	$42M	Apache Parquet
Reqiva Ltd		It Services And It Consulting	11		Apache Parquet
RBC	加拿大	Banking	93K	$32B	Apache Parquet

使用 Apache Parquet 的公司

如何针对Apache Parquet用户进行定位

使用 Apache Parquet 的公司

如何针对Apache Parquet用户进行定位

Apache Parquet 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

CockroachDB

TimescaleDB

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

Datomic

Amazon RDS for PostgreSQL

Greenplum Database

Amazon QLDB

LevelDB

Amazon RDS for SQL Server