DBMS > H2GIS vs. RocksDB vs. SiteWhere vs. TinkerGraph

System Properties Comparison H2GIS vs. RocksDB vs. SiteWhere vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

M2M integration platform for persisting/querying time series data

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Secondary database models

Relational DBMS

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

Score	0.05
Rank	#372	Overall
	#7	Spatial DBMS

Score	4.00
Rank	#84	Overall
	#11	Key-value stores

Score	0.06
Rank	#367	Overall
	#36	Time Series DBMS

Score	0.12
Rank	#344	Overall
	#34	Graph DBMS

Website

www.h2gis.org

rocksdb.org

github.com/sitewhere/sitewhere

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

www.h2gis.org/docs/home

github.com/facebook/rocksdb/wiki

sitewhere1.sitewhere.io/index.html

Developer

CNRS

Facebook, Inc.

SiteWhere

Initial release

2013

2010

2009

Current release

8.11.4, April 2024

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

BSD

Open Source

Common Public Attribution License Version 1.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Java

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

predefined scheme

schema-free

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

yes

APIs and other access methods

C++ API
Java API

HTTP REST

TinkerPop 3

Supported programming languages

Java

C
C++
Go
Java
Perl
Python
Ruby

Groovy
Java

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

selectable replication factor

based on HBase

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

optional

In-memory capabilities

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

yes

User concepts

Access control

yes

based on H2

Users with fine-grained authorization concept

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