DBMS > Microsoft Azure AI Search vs. SAP Adaptive Server vs. Splunk vs. WakandaDB

System Properties Comparison Microsoft Azure AI Search vs. SAP Adaptive Server vs. Splunk vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Search-as-a-service for web and mobile app development

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Analytics Platform for Big Data

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Secondary database models

Vector DBMS

Spatial DBMS

with Boeing's Spatial Query Server

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

Score	5.59
Rank	#63	Overall
	#7	Search engines

Score	36.31
Rank	#25	Overall
	#17	Relational DBMS

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

azure.microsoft.com/en-us/services/search

www.sap.com/products/technology-platform/sybase-ase.html

www.splunk.com

wakanda.github.io

Technical documentation

learn.microsoft.com/en-us/azure/search

help.sap.com/docs/SAP_ASE

docs.splunk.com/Documentation/Splunk

wakanda.github.io/doc

Developer

Microsoft

SAP, Sybase

Splunk Inc.

Wakanda SAS

Initial release

2015

1987

2003

2012

Current release

16.0

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

Open Source

AGPLv3, extended commercial license available

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

C and C++

C++, JavaScript

Server operating systems

hosted

AIX
HP-UX
Linux
Solaris
Unix
Windows

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

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

yes

Splunk Search Processing Language for search commands

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

HTTP REST

RESTful HTTP API

Supported programming languages

C#
Java
JavaScript
Python

C
C++
Cobol
Java
Java
Perl
PHP
Python

C#
Java
JavaScript
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

Java and Transact-SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication
Source-replica replication

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

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

ACID

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

yes

using Azure authentication

fine grained access rights according to SQL-standard

Access rights for users and roles

yes

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More resources

DB-Engines blog posts

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

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