DBMS > OpenMLDB vs. SAP HANA vs. SAP SQL Anywhere vs. VelocityDB

System Properties Comparison OpenMLDB vs. SAP HANA vs. SAP SQL Anywhere vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

An open-source machine learning database that provides a feature platform for training and inference

In-memory, column based data store. Available as appliance or cloud service

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Time Series DBMS

Relational DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Relational DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Score	4.25
Rank	#79	Overall
	#43	Relational DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

openmldb.ai

www.sap.com/products/hana.html

www.sap.com/products/technology-platform/sql-anywhere.html

velocitydb.com

Technical documentation

openmldb.ai/docs/zh/main

help.sap.com/hana

help.sap.com/docs/SAP_SQL_Anywhere

velocitydb.com/UserGuide

Developer

4 Paradigm Inc.

SAP

formerly Sybase

VelocityDB Inc

Initial release

2020

2010

1992

2011

Current release

2024-2 February 2024

2.0 SPS07 (April 4, 2023), April 2023

17, July 2015

7.x

License

Commercial or Open Source

Open Source

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++, Java, Scala

Server operating systems

Linux

Appliance or cloud-service

AIX
HP-UX
Linux
OS X
Solaris
Windows

Any that supports .NET

Data scheme

Fixed schema

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
SQLAlchemy

JDBC
ODBC

ADO.NET
HTTP API
JDBC
ODBC

.Net

Supported programming languages

C++
Go
Java
Python
Scala

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net

Server-side scripts

Stored procedures

SQLScript, R

yes, in C/C++, Java, .Net or Perl

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Source-replica replication

Database mirroring

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

yes

fine grained access rights according to SQL-standard

Based on Windows Authentication

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