DBMS > Apache Hive vs. GreptimeDB

System Properties Comparison Apache Hive vs. GreptimeDB

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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

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Primary database model

Relational DBMS

Time Series DBMS

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

Score	70.08
Rank	#18	Overall
	#12	Relational DBMS

Score	0.13
Rank	#336	Overall
	#29	Time Series DBMS

Website

hive.apache.org

greptime.com

Technical documentation

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

docs.greptime.com

Developer

Apache Software Foundation

initially developed by Facebook

Greptime Inc.

Initial release

2012

2022

Current release

3.1.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Rust

Server operating systems

All OS with a Java VM

Android
Docker
FreeBSD
Linux
macOS
Windows

Data scheme

yes

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

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

yes

APIs and other access methods

JDBC
ODBC
Thrift

gRPC
HTTP API
JDBC

Supported programming languages

C++
Java
PHP
Python

C++
Erlang
Go
Java
JavaScript

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

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

Immediate 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

User concepts

Access control

Access rights for users, groups and roles

Simple rights management via user accounts

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