DBMS > Amazon CloudSearch vs. Apache Jena - TDB vs. Cassandra vs. Memgraph

System Properties Comparison Amazon CloudSearch vs. Apache Jena - TDB vs. Cassandra vs. Memgraph

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Editorial information provided by DB-Engines

Name

Description

A hosted search engine service by Amazon with the data stored in Amazons cloud

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

An open source graph database built for real-time streaming and compatible with Neo4j

Primary database model

Secondary database models

Vector DBMS

starting with release V5

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

Score	1.85
Rank	#137	Overall
	#12	Search engines

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	101.89
Rank	#12	Overall
	#1	Wide column stores

Score	3.02
Rank	#98	Overall
	#8	Graph DBMS

Website

aws.amazon.com/cloudsearch

jena.apache.org/documentation/tdb/index.html

cassandra.apache.org

memgraph.com

Technical documentation

docs.aws.amazon.com/cloudsearch

jena.apache.org/documentation/tdb/index.html

cassandra.apache.org/doc/latest

memgraph.com/docs

Social network pages

Developer

Amazon

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation

Apache top level project, originally developped by Facebook

Memgraph Ltd

Initial release

2012

2000

2008

2017

Current release

4.9.0, July 2023

4.1.3, July 2023

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

Open Source

Apache version 2

Open Source

BSL 1.1; commercial license for enterprise edition 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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C and C++

Server operating systems

hosted

All OS with a Java VM

BSD
Linux
OS X
Windows

Linux

Data scheme

yes

RDF Schemas

schema-free

schema-free and schema-optional

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

all search fields are automatically indexed

yes

restricted

only equality queries, not always the best performing solution

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

APIs and other access methods

HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

Bolt protocol
Cypher query language

Supported programming languages

Java

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

none

Sharding

no "single point of failure"

Sharding

dynamic graph partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

none

selectable replication factor

Representation of geographical distribution of servers is possible

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

TDB Transactions

Atomicity and isolation are supported for single operations

ACID

with snapshot isolation

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

In-memory capabilities

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

yes

User concepts

Access control

authentication via encrypted signatures

Access control via Jena Security

Access rights for users can be defined per object

Users, roles and permissions

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Memgraph directly connects to your streaming infrastructure so you and your team...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
» more

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more

Market metrics

Cassandra is used by 40% of the Fortune 100.
» more

Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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You can check out our pricing model and licenses on the company website .
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