DBMS > Kinetica vs. SAP HANA

System Properties Comparison Kinetica vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

GPU-accelerated database for real-time analysis of large and streaming datasets

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

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS info

with SAP Hana, Enterprise Edition

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

Score	0.53
Rank	#199	Overall
	#97	Relational DBMS

Score	55.35
Rank	#20	Overall
	#13	Relational DBMS

Website

www.kinetica.com

www.sap.com/products/hana.html

Technical documentation

www.kinetica.com/docs

help.sap.com/hana

Developer

Kinetica

SAP

Initial release

2012

2010

Current release

6.0

2.0 SPS04, April 2019

License

Commercial or Open Source

commercial

Cloud-based only info

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C, C++

Server operating systems

Linux

Appliance or cloud-service

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

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

SQL-like DML and DDL statements

yes

APIs and other access methods

RESTful HTTP API
JDBC
ODBC

JDBC
ODBC

Supported programming languages

C++
Java
JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

user defined functions

SQLScript, R

Triggers

yes

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

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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 info

Access control

Access rights for users and roles on table level

yes

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