DBMS > Machbase Neo vs. SAP IQ vs. SWC-DB vs. Teradata

System Properties Comparison Machbase Neo vs. SAP IQ vs. SWC-DB vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

TimeSeries DBMS for AIoT and BigData

Columnar RDBMS optimized for Big Data analytics

A high performance, scalable Wide Column DBMS

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

column-oriented

Secondary database models

Time Series DBMS

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.17
Rank	#337	Overall
	#30	Time Series DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	44.87
Rank	#22	Overall
	#15	Relational DBMS

Website

machbase.com

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

github.com/kashirin-alex/swc-db
www.swcdb.org

www.teradata.com

Technical documentation

machbase.com/dbms

help.sap.com/docs/SAP_IQ

docs.teradata.com

Developer

Machbase

SAP, formerly Sybase

Alex Kashirin

Teradata

Initial release

2013

1994

2020

1984

Current release

V8.0, August 2023

16.1 SPS04, April 2019

0.5, April 2021

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

free test version available

commercial

Open Source

GPL V3

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

Linux
macOS
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux

hosted
Linux

Data scheme

yes

schema-free

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

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

SQL-like query language

yes

SQL-like query language

yes

SQL 2016 + extensions

APIs and other access methods

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

ADO.NET
JDBC
ODBC
RESTful HTTP API

Proprietary protocol
Thrift

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
C#
C++
Java
Perl
PHP
Python
Ruby

C++

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

SAP/Sybase Replication Server

Multi-source replication
Source-replica replication

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 capabilities

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

yes

volatile and lookup table

yes

User concepts

Access control

simple password-based access control

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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