DBMS > GeoMesa vs. NuoDB vs. SAP IQ vs. Tkrzw

System Properties Comparison GeoMesa vs. NuoDB vs. SAP IQ vs. Tkrzw

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Editorial information provided by DB-Engines

Name

Description

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

NuoDB is a webscale distributed database that supports SQL and ACID transactions

Columnar RDBMS optimized for Big Data analytics

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Spatial DBMS

Relational DBMS

column-oriented

Key-value store

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

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.94
Rank	#197	Overall
	#92	Relational DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Website

www.geomesa.org

www.3ds.com/nuodb-distributed-sql-database

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

dbmx.net/tkrzw

Technical documentation

www.geomesa.org/documentation/stable/user/index.html

doc.nuodb.com

help.sap.com/docs/SAP_IQ

Developer

CCRi and others

Dassault Systèmes

originally NuoDB, Inc.

SAP, formerly Sybase

Mikio Hirabayashi

Initial release

2014

2013

1994

2020

Current release

5.0.0, May 2024

16.1 SPS04, April 2019

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

limited edition free

commercial

Open Source

Apache Version 2.0

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

Scala

C++

Server operating systems

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux
macOS

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

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

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

C
C#
C++
Java
Perl
PHP
Python
Ruby

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Java, SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

data is dynamically stored/cached on the nodes where it is read/written

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

Managed transparently by NuoDB

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

tunable commit protocol

ACID

Concurrency

Support for concurrent manipulation of data

yes

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.

depending on storage layer

yes

Temporary table

yes

using specific database classes

User concepts

Access control

yes

depending on the DBMS used for storage

Standard SQL roles/ privileges, Administrative Users

fine grained access rights according to SQL-standard

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