DBMS > AntDB vs. GeoSpock vs. H2GIS vs. RocksDB

System Properties Comparison AntDB vs. GeoSpock vs. H2GIS vs. RocksDB

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle

Spatial and temporal data processing engine for extreme data scale

Spatial extension of H2

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

Primary database model

Relational DBMS

Spatial DBMS

Key-value store

Secondary database models

Time Series DBMS

Relational DBMS

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

Score	0.23
Rank	#317	Overall
	#141	Relational DBMS

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Website

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

geospock.com

www.h2gis.org

rocksdb.org

Technical documentation

www.h2gis.org/docs/home

github.com/facebook/rocksdb/wiki

Developer

AsiaInfo Technologies Limited

GeoSpock

CNRS

Facebook, Inc.

Initial release

2013

Current release

2.0, September 2019

9.2.1, May 2024

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java, Javascript

Java

C++

Server operating systems

hosted

Linux

Data scheme

yes

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

temporal, categorical

yes

SQL

Support of SQL

SQL2016 compliant

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JDBC
MySQL protocol compliant
ODBC

JDBC

C++ API
Java API

Supported programming languages

Java

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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 rights for users can be defined per table

yes

based on H2

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