DBMS > Hive vs. Newts vs. SAP IQ vs. Splunk

System Properties Comparison Hive vs. Newts vs. SAP IQ vs. Splunk

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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

Time Series DBMS based on Cassandra

Columnar RDBMS optimized for Big Data analytics

Analytics Platform for Big Data

Primary database model

column-oriented

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

Score	59.76
Rank	#18	Overall
	#12	Relational DBMS

Score	0.07
Rank	#375	Overall
	#41	Time Series DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Website

hive.apache.org

opennms.github.io/newts

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

www.splunk.com

Technical documentation

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

github.com/OpenNMS/newts/wiki

help.sap.com/docs/SAP_IQ

docs.splunk.com/Documentation/Splunk

Developer

Apache Software Foundation

initially developed by Facebook

OpenNMS Group

SAP, formerly Sybase

Splunk Inc.

Initial release

2012

2014

1994

2003

Current release

3.1.3, April 2022

16.1 SPS04, April 2019

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache 2.0

commercial

Limited free edition and free developer edition available

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

Java

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Solaris
Windows

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

SQL

Support of SQL

SQL-like DML and DDL statements

yes

Splunk Search Processing Language for search commands

APIs and other access methods

JDBC
ODBC
Thrift

HTTP REST
Java API

ADO.NET
JDBC
ODBC
RESTful HTTP API

HTTP REST

Supported programming languages

C++
Java
PHP
Python

Java

C
C#
C++
Java
Perl
PHP
Python
Ruby

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

SAP/Sybase Replication Server

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Hadoop integration

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

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.

User concepts

Access control

Access rights for users, groups and roles

fine grained access rights according to SQL-standard

Access rights for users and roles

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More resources

DB-Engines blog posts

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