DBMS > MaxDB vs. Transwarp Hippo vs. Transwarp StellarDB

System Properties Comparison MaxDB vs. Transwarp Hippo vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Relational DBMS

Vector DBMS

Graph DBMS

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

Score	1.95
Rank	#117	Overall
	#55	Relational DBMS

Score	0.01
Rank	#383	Overall
	#21	Vector DBMS

Score	0.02
Rank	#376	Overall
	#41	Graph DBMS

Website

maxdb.sap.com

www.transwarp.cn/en/subproduct/hippo

www.transwarp.cn/en/product/stellardb

Technical documentation

maxdb.sap.com/documentation

Developer

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

Transwarp

Initial release

1984

2023

Current release

7.9.10.12, February 2024

1.0, May 2023

License

Commercial or Open Source

commercial

Limited community edition free

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

C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Linux
macOS

Data scheme

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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 query language

APIs and other access methods

ADO.NET
JDBC
ODBC
WebDAV

RESTful HTTP API

OpenCypher

Supported programming languages

.Net
C#
Java
Perl
PHP
Python

C++
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

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

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

yes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

Share this page