DBMS > searchxml vs. Splunk vs. SWC-DB vs. Yanza

System Properties Comparison searchxml vs. Splunk vs. SWC-DB vs. Yanza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

DBMS for structured and unstructured content wrapped with an application server

Analytics Platform for Big Data

A high performance, scalable Wide Column DBMS

Time Series DBMS for IoT Applications

Primary database model

Native XML DBMS
Search engine

Search engine

Wide column store

Time Series DBMS

Secondary database models

Time Series DBMS

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

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Website

www.searchxml.net/category/products

www.splunk.com

github.com/kashirin-alex/swc-db
www.swcdb.org

yanza.com

Technical documentation

www.searchxml.net/support/handouts

docs.splunk.com/Documentation/Splunk

Developer

informationpartners gmbh

Splunk Inc.

Alex Kashirin

Yanza

Initial release

2015

2003

2020

2015

Current release

1.0

0.5, April 2021

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

Open Source

GPL V3

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

Windows

Linux
OS X
Solaris
Windows

Linux

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

Splunk Search Processing Language for search commands

SQL-like query language

APIs and other access methods

RESTful HTTP API
WebDAV
XQuery
XSLT

HTTP REST

Proprietary protocol
Thrift

HTTP API

Supported programming languages

C++

most other programming languages supported via APIs

C#
Java
JavaScript
PHP
Python
Ruby

C++

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

on the application server

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

sychronisation to multiple collections

Multi-source replication

none

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

Foreign keys

Referential integrity

Transaction concepts

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

multiple readers, single writer

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

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

Access rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger