DBMS > Memcached vs. Microsoft Azure AI Search vs. SwayDB vs. Transwarp Hippo vs. WakandaDB

System Properties Comparison Memcached vs. Microsoft Azure AI Search vs. SwayDB vs. Transwarp Hippo vs. WakandaDB

Editorial information provided by DB-Engines

Name

Description

In-memory key-value store, originally intended for caching

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

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

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

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

Score	18.08
Rank	#32	Overall
	#4	Key-value stores

Score	5.52
Rank	#59	Overall
	#6	Search engines

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Score	0.05
Rank	#386	Overall
	#14	Vector DBMS

Score	0.10
Rank	#356	Overall
	#16	Object oriented DBMS

Website

www.memcached.org

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

swaydb.simer.au

www.transwarp.cn/en/subproduct/hippo

wakanda.github.io

Technical documentation

github.com/memcached/memcached/wiki

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

wakanda.github.io/doc

Developer

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Microsoft

Simer Plaha

Wakanda SAS

Initial release

2003

2015

2018

2023

2012

Current release

1.6.27, May 2024

1.0, May 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

BSD license

commercial

Open Source

GNU Affero GPL V3.0

commercial

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

Scala

C++

C++, JavaScript

Server operating systems

FreeBSD
Linux
OS X
Unix
Windows

hosted

Linux
macOS

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

Proprietary protocol

RESTful HTTP API

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

C#
Java
JavaScript
Python

Java
Kotlin
Scala

C++
Java
Python

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

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.

yes

User concepts

Access control

yes

using SASL (Simple Authentication and Security Layer) protocol

yes

using Azure authentication

Role based access control and fine grained access rights

yes

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

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