DBMS > AnzoGraph DB vs. Machbase Neo vs. Manticore Search vs. MaxDB

System Properties Comparison AnzoGraph DB vs. Machbase Neo vs. Manticore Search vs. MaxDB

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Editorial information provided by DB-Engines

Name

Description

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

TimeSeries DBMS for AIoT and BigData

Multi-storage database for search, including full-text search.

A robust and reliable RDBMS optimized to run all major SAP solutions

Primary database model

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

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

Score	0.22
Rank	#302	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	0.07
Rank	#348	Overall
	#34	Time Series DBMS

Score	0.23
Rank	#301	Overall
	#21	Search engines

Score	2.15
Rank	#115	Overall
	#55	Relational DBMS

Website

cambridgesemantics.com/anzograph

machbase.com

manticoresearch.com

maxdb.sap.com

Technical documentation

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

machbase.com/dbms

manual.manticoresearch.com

maxdb.sap.com/documentation

Developer

Cambridge Semantics

Machbase

Manticore Software

SAP, acquired from Software AG (Adabas-D) in 1997

Initial release

2018

2013

2017

1984

Current release

2.3, January 2021

V8.0, August 2023

6.0, February 2023

7.9.10.12, February 2024

License

Commercial or Open Source

commercial

free trial version available

commercial

free test version available

Open Source

GPL version 2

commercial

Limited community edition free

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++

Server operating systems

Linux

Linux
macOS
Windows

FreeBSD
Linux
macOS
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

Schema-free and OWL/RDFS-schema support

yes

Fixed schema

yes

Typing

predefined data types such as float or date

yes

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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.

Can index from XML

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

SPARQL and SPARQL* as primary query language. Cypher preview.

SQL-like query language

yes

APIs and other access methods

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

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

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

C++
Java
Python

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

.Net
C#
Java
Perl
PHP
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding

Partitioning is done manually, search queries against distributed index is supported

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

selectable replication factor

Synchronous replication based on Galera library

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

Immediate Consistency

Foreign keys

Referential integrity

not needed in graphs

yes

Transaction concepts

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

ACID

yes

isolated transactions for atomic changes and binary logging for safe writes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

yes

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

Access rights for users and roles

simple password-based access control

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

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