DBMS > Hive vs. InfluxDB

System Properties Comparison Hive vs. InfluxDB

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

DBMS for storing time series, events and metrics

Primary database model

Relational DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

with GEO package

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	81.58
Rank	#17	Overall
	#11	Relational DBMS

Score	29.86
Rank	#29	Overall
	#1	Time Series DBMS

Website

hive.apache.org

www.influxdata.com/products/influxdb-overview

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

docs.influxdata.com/influxdb

Developer

Apache Software Foundation

initially developed by Facebook

Initial release

2012

2013

Current release

3.1.2, August 2019

2.0.8, August 2021

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

MIT-License; commercial enterprise version available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
OS X

through Homebrew

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data and Strings

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

APIs and other access methods

JDBC
ODBC
Thrift

HTTP API
JSON over UDP

Supported programming languages

C++
Java
PHP
Python

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Depending on used storage engine

User concepts

Access control

Access rights for users, groups and roles

simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
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Competitive advantages

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Typical application scenarios

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Key customers

InfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
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Market metrics

Fastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
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Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
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