DBMS > Kinetica vs. SAP IQ vs. searchxml vs. Transwarp Hippo

System Properties Comparison Kinetica vs. SAP IQ vs. searchxml vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Description

Fully vectorized database across both GPUs and CPUs

Columnar RDBMS optimized for Big Data analytics

DBMS for structured and unstructured content wrapped with an application server

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

Primary database model

Relational DBMS

column-oriented

Native XML DBMS
Search engine

Vector DBMS

Secondary database models

Spatial DBMS
Time Series DBMS

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

Score	0.66
Rank	#234	Overall
	#107	Relational DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

Score	0.05
Rank	#386	Overall
	#15	Vector DBMS

Website

www.kinetica.com

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

www.searchxml.net/category/products

www.transwarp.cn/en/subproduct/hippo

Technical documentation

docs.kinetica.com

help.sap.com/docs/SAP_IQ

www.searchxml.net/support/handouts

Developer

Kinetica

SAP, formerly Sybase

informationpartners gmbh

Initial release

2012

1994

2015

2023

Current release

7.1, August 2021

16.1 SPS04, April 2019

1.0

1.0, May 2023

License

Commercial or Open Source

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, C++

C++

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

Windows

Linux
macOS

Data scheme

yes

schema-free

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC
RESTful HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

RESTful HTTP API

Supported programming languages

C++
Java
JavaScript (Node.js)
Python

C
C#
C++
Java
Perl
PHP
Python
Ruby

C++

most other programming languages supported via APIs

C++
Java
Python

Server-side scripts

Stored procedures

user defined functions

yes

on the application server

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

SAP/Sybase Replication Server

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

multiple readers, single writer

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

GPU vRAM or System RAM

yes

User concepts

Access control

Access rights for users and roles on table level

fine grained access rights according to SQL-standard

Domain, group and role-based access control at the document level and for application services

Role based access control and fine grained access rights

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More resources

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