DBMS > H2GIS vs. Spark SQL vs. STSdb vs. Typesense vs. Valentina Server

System Properties Comparison H2GIS vs. Spark SQL vs. STSdb vs. Typesense vs. Valentina Server

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Spark SQL is a component on top of 'Spark Core' for structured data processing

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity

Object-relational database and reports server

Primary database model

Secondary database models

Relational DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	18.04
Rank	#33	Overall
	#20	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.76
Rank	#219	Overall
	#14	Search engines

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

www.h2gis.org

spark.apache.org/sql

github.com/STSSoft/STSdb4

typesense.org

www.valentina-db.net

Technical documentation

www.h2gis.org/docs/home

spark.apache.org/docs/latest/sql-programming-guide.html

typesense.org/docs

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

CNRS

Apache Software Foundation

STS Soft SC

Paradigma Software

Initial release

2013

2014

2011

2015

1999

Current release

3.5.0 ( 2.13), September 2023

4.0.8, September 2015

5.7.5

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache 2.0

Open Source

GPLv2, commercial license available

Open Source

GPL V3

commercial

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

Scala

C++

Server operating systems

Linux
OS X
Windows

Windows

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

pre-defined schema optional

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC

.NET Client API

RESTful HTTP API

ODBC

Supported programming languages

Java

Java
Python
R
Scala

C#
Java

.Net

community maintained
Clojure

community maintained
Dart

community maintained
Go

community maintained
Java

community maintained
JavaScript
Perl

community maintained
PHP
Python
Ruby
Rust

community maintained
Swift

community maintained

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes, utilizing Spark Core

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

none

Multi-source replication using RAFT

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

Concurrency

Support for concurrent manipulation of data

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

yes

based on H2

fine grained access rights according to SQL-standard

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