DBMS > Drizzle vs. Machbase Neo vs. SAP IQ vs. TerminusDB

System Properties Comparison Drizzle vs. Machbase Neo vs. SAP IQ vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

TimeSeries DBMS for AIoT and BigData

Columnar RDBMS optimized for Big Data analytics

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

column-oriented

Secondary database models

Document store
RDF store

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

Score	0.07
Rank	#348	Overall
	#34	Time Series DBMS

Score	2.56
Rank	#106	Overall
	#52	Relational DBMS

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Website

machbase.com

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

terminusdb.com

Technical documentation

machbase.com/dbms

help.sap.com/docs/SAP_IQ

terminusdb.github.io/terminusdb/#

Developer

Drizzle project, originally started by Brian Aker

Machbase

SAP, formerly Sybase

DataChemist Ltd.

Initial release

2008

2013

1994

2018

Current release

7.2.4, September 2012

V8.0, August 2023

16.1 SPS04, April 2019

11.0.0, January 2023

License

Commercial or Open Source

Open Source

GNU GPL

commercial

free test version available

commercial

Open Source

GPL V3

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

C++

Prolog, Rust

Server operating systems

FreeBSD
Linux
OS X

Linux
macOS
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

yes

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

with proprietary extensions

SQL-like query language

yes

SQL-like query language (WOQL)

APIs and other access methods

JDBC

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

ADO.NET
JDBC
ODBC
RESTful HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

C
C++
Java
PHP

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
C#
C++
Java
Perl
PHP
Python
Ruby

JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

SAP/Sybase Replication Server

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

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

Durability

Support for making data persistent

yes

in-memory journaling

In-memory capabilities

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

yes

volatile and lookup table

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

simple password-based access control

fine grained access rights according to SQL-standard

Role-based access control

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More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
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