DBMS > Aerospike vs. AllegroGraph vs. Ehcache vs. Microsoft Azure Cosmos DB vs. Sadas Engine

System Properties Comparison Aerospike vs. AllegroGraph vs. Ehcache vs. Microsoft Azure Cosmos DB vs. Sadas Engine

Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

High performance, persistent RDF store with additional support for Graph DBMS

A widely adopted Java cache with tiered storage options

Globally distributed, horizontally scalable, multi-model database service

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS

Document store

with version 6.5
Graph DBMS
RDF store
Vector DBMS

Key-value store

Document store
Graph DBMS
Key-value store
Wide column store

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	5.51
Rank	#60	Overall
	#10	Document stores
	#3	Graph DBMS
	#6	Key-value stores
	#2	Spatial DBMS

Score	1.13
Rank	#179	Overall
	#30	Document stores
	#17	Graph DBMS
	#7	RDF stores
	#7	Vector DBMS

Score	4.64
Rank	#68	Overall
	#8	Key-value stores

Score	27.71
Rank	#27	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	0.07
Rank	#373	Overall
	#157	Relational DBMS

Website

aerospike.com

allegrograph.com

www.ehcache.org

azure.microsoft.com/services/cosmos-db

www.sadasengine.com

Technical documentation

docs.aerospike.com

franz.com/agraph/support/documentation/current/agraph-introduction.html

www.ehcache.org/documentation

learn.microsoft.com/azure/cosmos-db

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

Social network pages

Developer

Aerospike

Franz Inc.

Terracotta Inc, owned by Software AG

Microsoft

SADAS s.r.l.

Initial release

2012

2004

2009

2014

2006

Current release

7.0, November 2023

8.0, December 2023

3.10.0, March 2022

8.0

License

Commercial or Open Source

Open Source

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

commercial

Limited community edition free

Open Source

Apache Version 2; commercial licenses available

commercial

free trial version 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

Java

C++

Server operating systems

Linux

Linux
OS X
Windows

All OS with a Java VM

hosted

AIX
Linux
Windows

Data scheme

schema-free

yes

RDF schemas

schema-free

yes

Typing

predefined data types such as float or date

yes

JSON types

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.

bulk load of XML files possible

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

SPARQL is used as query language

SQL-like query language

yes

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

RESTful HTTP API
SPARQL

JCache

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

JDBC
ODBC
Proprietary protocol

Supported programming languages

.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

Java

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

.Net
C
C#
C++
Groovy
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

with Lua

yes

JavaScript or Common Lisp

JavaScript

Triggers

yes

Cache Event Listeners

JavaScript

Partitioning methods

Methods for storing different data on different nodes

Sharding

with Federation

Sharding

by using Terracotta Server

Sharding

Implicit feature of the cloud service

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication
Source-replica replication

yes

by using Terracotta Server

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

with Hadoop integration

Integration with Hadoop/HDInsight on Azure*

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Immediate Consistency or Eventual Consistency depending on configuration

Tunable Consistency (Strong, Eventual, Weak)

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency

Consistency level configurable on request level
Session Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of operations

ACID

yes

supports JTA and can work as an XA resource

Multi-item ACID transactions with snapshot isolation within a partition

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

managed by 'Learn by Usage'

User concepts

Access control

Access rights for users and roles

with Enterprise Edition only

Users with fine-grained authorization concept, user roles and pluggable authentication

Access rights can be defined down to the item level

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more

Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more

Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more

AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more

Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
» more

Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more

Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more

Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
» more

News

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

Aerospike a Winner in 2024 Business Sustainability Awards
22 May 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15 May 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
23 May 2024

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

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.