DBMS > Alibaba Cloud Table Store vs. Netezza vs. Splunk vs. Warp 10

System Properties Comparison Alibaba Cloud Table Store vs. Netezza vs. Splunk vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

Data warehouse and analytics appliance part of IBM PureSystems

Analytics Platform for Big Data

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

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

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.14
Rank	#344	Overall
	#32	Time Series DBMS

Website

www.alibabacloud.com/product/table-store

www.ibm.com/products/netezza

www.splunk.com

www.warp10.io

Technical documentation

www.alibabacloud.com/help/en/tablestore

docs.splunk.com/Documentation/Splunk

www.warp10.io/content/02_Getting_started

Developer

Alibaba

IBM

Splunk Inc.

SenX

Initial release

2016

2000

2003

2015

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

hosted

Linux

included in appliance

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

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

yes

Splunk Search Processing Language for search commands

APIs and other access methods

HTTP API

JDBC
ODBC
OLE DB

HTTP REST

HTTP API
Jupyter
WebSocket

Supported programming languages

Java
Python

C
C++
Fortran
Java
Lua
Perl
Python
R

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Source-replica replication

Multi-source replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

Transaction concepts

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

Atomic single-row operations

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.

yes

User concepts

Access control

Access rights based on subaccounts and tokens

Users with fine-grained authorization concept

Access rights for users and roles

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources

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