DBMS > Amazon CloudSearch vs. Apache Jena - TDB vs. Galaxybase vs. Google BigQuery vs. Memgraph

System Properties Comparison Amazon CloudSearch vs. Apache Jena - TDB vs. Galaxybase vs. Google BigQuery vs. Memgraph

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

Scalable, ACID-compliant native distributed parallel graph platform

Large scale data warehouse service with append-only tables

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

Primary database model

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

Score	1.81
Rank	#137	Overall
	#12	Search engines

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	58.10
Rank	#19	Overall
	#13	Relational DBMS

Score	3.19
Rank	#94	Overall
	#8	Graph DBMS

Website

aws.amazon.com/cloudsearch

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

galaxybase.com

cloud.google.com/bigquery

memgraph.com

Technical documentation

docs.aws.amazon.com/cloudsearch

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

cloud.google.com/bigquery/docs

memgraph.com/docs

Social network pages

Developer

Amazon

Apache Software Foundation

originally developed by HP Labs

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Google

Memgraph Ltd

Initial release

2012

2000

2017

2010

2017

Current release

4.9.0, July 2023

Nov 20, November 2021

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

commercial

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.

Implementation language

Java

C and Java

C and C++

Server operating systems

hosted

All OS with a Java VM

Linux

hosted

Linux

Data scheme

yes

RDF Schemas

Strong typed schema

yes

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

SQL

Support of SQL

yes

APIs and other access methods

HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

RESTful HTTP/JSON API

Bolt protocol
Cypher query language

Supported programming languages

Java

Go
Java
Python

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

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

Server-side scripts

Stored procedures

yes

user defined procedures and functions

user defined functions

in JavaScript

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

none

Sharding

none

Sharding

dynamic graph partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

none

Multi-source replication using RAFT

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

yes

Relationships in graphs

yes

relationships in graphs

Transaction concepts

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

ACID

TDB Transactions

ACID

Since BigQuery is designed for querying data

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

Role-based access control

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

Users, roles and permissions

More information provided by the system vendor

Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

Competitive advantages

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

Typical application scenarios

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

Licensing and pricing models

You can check out our pricing model and licenses on the company website .
» more

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