DBMS > Apache HBase vs. GreptimeDB vs. JaguarDB

System Properties Comparison Apache HBase vs. GreptimeDB vs. JaguarDB

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

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

Performant, highly scalable DBMS for AI and IoT applications

Primary database model

Wide column store

Time Series DBMS

Key-value store
Vector DBMS

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

Score	24.75
Rank	#26	Overall
	#2	Wide column stores

Score	0.10
Rank	#336	Overall
	#30	Time Series DBMS

Score	0.00
Rank	#379	Overall
	#59	Key-value stores
	#18	Vector DBMS

Website

hbase.apache.org

greptime.com

www.jaguardb.com

Technical documentation

hbase.apache.org/book.html

docs.greptime.com

www.jaguardb.com/support.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Greptime Inc.

DataJaguar, Inc.

Initial release

2008

2022

2015

Current release

2.3.4, January 2021

3.3 July 2023

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2.0

Open Source

GPL V3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Rust

C++

the server part. Clients available in other languages

Server operating systems

Linux
Unix
Windows

using Cygwin

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

yes

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

Java API
RESTful HTTP API
Thrift

gRPC
HTTP API
JDBC

JDBC
ODBC

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C++
Erlang
Go
Java
JavaScript

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

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

User concepts

Access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Simple rights management via user accounts

rights management via user accounts

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Apache HBase online migration to Amazon EMR | Amazon Web Services
23 October 2024, AWS Blog

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

Set up a standalone HBase local instance and connect to it with Python Happybase
9 February 2020, Towards Data Science

How to interact with HBase using HBase shell [Tutorial]
25 June 2018, packtpub.com

Horizontal Scalability with HBase
26 November 2013, Ericsson

provided by Google News

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