DBMS > Amazon CloudSearch vs. Memgraph vs. SAP HANA

System Properties Comparison Amazon CloudSearch vs. Memgraph vs. SAP HANA

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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 hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Search engine

Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition

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

Score	2.49
Rank	#108	Overall
	#9	Search engines

Score	0.07
Rank	#310	Overall
	#30	Graph DBMS

Score	50.22
Rank	#21	Overall
	#13	Relational DBMS

Website

aws.amazon.com/cloudsearch

memgraph.com

www.sap.com/products/hana.html

Technical documentation

docs.aws.amazon.com/cloudsearch

docs.memgraph.com

help.sap.com/hana

Developer

Amazon

Memgraph Ltd

SAP

Initial release

2012

2017

2010

Current release

2.0 SPS05 (June 26, 2020), June 2020

License

Commercial or Open Source

commercial

Free license available

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Server operating systems

hosted

Linux

Appliance or cloud-service

Data scheme

yes

schema-free and schema-optional

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

all search fields are automatically indexed

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP API

Bolt protocol
Cypher query language

JDBC
ODBC

Supported programming languages

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

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

dynamic graph partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Multi-source replication using RAFT

yes

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

Transaction concepts

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

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

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

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

authentication via encrypted signatures

Users, roles and permissions

yes

More information provided by the system vendor

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Related products and services

3rd parties

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources

DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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