DBMS > Amazon CloudSearch vs. eXtremeDB vs. Memgraph vs. Teradata

System Properties Comparison Amazon CloudSearch vs. eXtremeDB vs. Memgraph vs. Teradata

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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

Natively in-memory DBMS with options for persistency, high-availability and clustering

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

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Search engine

Relational DBMS
Time Series DBMS

Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Time Series DBMS

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

Score	2.59
Rank	#91	Overall
	#10	Search engines

Score	0.38
Rank	#229	Overall
	#108	Relational DBMS
	#14	Time Series DBMS

Score	0.07
Rank	#309	Overall
	#28	Graph DBMS

Score	73.89
Rank	#15	Overall
	#10	Relational DBMS

Website

aws.amazon.com/cloudsearch

www.mcobject.com/extremedbfamily

memgraph.com

www.teradata.com

Technical documentation

docs.aws.amazon.com/cloudsearch

www.mcobject.com/docs/eXtremeDB.htm

docs.memgraph.com

docs.teradata.com

Developer

Amazon

McObject

Memgraph Ltd

Teradata

Initial release

2012

2001

2017

1984

Current release

8.1, November 2019

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

commercial info

Free license available

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

eXtremeDB on AWS: High performance DBMS for HPC and Capital Market computing

Implementation language

C and C++

Server operating systems

hosted

AIX
HP-UX
Linux
macOS
Solaris
Windows

Linux

hosted
Linux

Data scheme

yes

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

support of XML interfaces available

yes

Secondary indexes

yes

all search fields are automatically indexed

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

with the option: eXtremeSQL

yes

SQL 2016 + extensions

APIs and other access methods

HTTP API

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

Bolt protocol
Cypher query language

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

.Net
C
C#
C++
Java
Lua
Python
Scala

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

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts info

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

by defining events

yes

Partitioning methods info

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

horizontal partitioning / sharding

Sharding

dynamic graph partitioning

Sharding

Hashing

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Active Replication Fabric™ for IoT
Master-master replication info

by means of eXtremeDB Cluster option
Master-slave replication info

by means of eXtremeDB High Availability option

Multi-Master replication using RAFT

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

relationships in graphs

yes

Transaction concepts info

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

ACID

with snapshot isolation

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

yes, multi-version concurrency control (MVCC)

yes

Durability info

Support for making data persistent

yes

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

yes

In-memory capabilities info

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

yes

User concepts info

Access control

authentication via encrypted signatures

Users, roles and permissions

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantages

eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenarios

IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customers

Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metrics

With hundreds of customers and over 28 million devices/applications using the product...
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Licensing and pricing models

For server use cases, there is a simple per-server license irrespective of the number...
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