DBMS > Cachelot.io vs. Microsoft Azure AI Search vs. Transwarp StellarDB

System Properties Comparison Cachelot.io vs. Microsoft Azure AI Search vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

In-memory caching system

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Key-value store

Search engine

Graph DBMS

Secondary database models

Vector DBMS

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

Score	0.04
Rank	#388	Overall
	#62	Key-value stores

Score	5.52
Rank	#59	Overall
	#6	Search engines

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

cachelot.io

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

www.transwarp.cn/en/product/stellardb

Technical documentation

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

Developer

Microsoft

Transwarp

Initial release

2015

Current release

License

Commercial or Open Source

Open Source

Simplified BSD License

commercial

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++

Server operating systems

FreeBSD
Linux
OS X

hosted

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Memcached protocol

RESTful HTTP API

OpenCypher

Supported programming languages

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

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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

yes

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