DBMS > Hive vs. SAP SQL Anywhere

System Properties Comparison Hive vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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

Primary database model

Relational DBMS

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

Score	74.71
Rank	#15	Overall
	#10	Relational DBMS

Score	5.20
Rank	#57	Overall
	#32	Relational DBMS

Website

hive.apache.org

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

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

help.sap.com/sql-anywhere

Developer

Apache Software Foundation info

initially developed by Facebook

SAP

formerly Sybase

Initial release

2012

1992

Current release

2.3.0, July 2017

17, July 2015

License

Commercial or Open Source

Open Source info

Apache Version 2

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java

Server operating systems

All OS with a Java VM

AIX
HP-UX
Linux
OS X
Solaris
Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC
Thrift

HTTP API
ADO.NET
JDBC
ODBC

Supported programming languages

C++
Java
PHP
Python

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

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

Master-slave replication info

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

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

User concepts info

Access control

Access rights for users, groups and roles

fine grained access rights according to SQL-standard

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