DBMS > Amazon CloudSearch vs. LeanXcale vs. Oracle Coherence vs. Postgres-XL

System Properties Comparison Amazon CloudSearch vs. LeanXcale vs. Oracle Coherence vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Oracles in-memory data grid solution

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Primary database model

Search engine

Key-value store
Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.86
Rank	#133	Overall
	#12	Search engines

Score	0.28
Rank	#286	Overall
	#41	Key-value stores
	#130	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	0.43
Rank	#260	Overall
	#119	Relational DBMS

Website

aws.amazon.com/cloudsearch

www.leanxcale.com

www.oracle.com/java/coherence

www.postgres-xl.org

Technical documentation

docs.aws.amazon.com/cloudsearch

docs.oracle.com/en/middleware/standalone/coherence

www.postgres-xl.org/documentation

Developer

Amazon

LeanXcale

Oracle

Initial release

2012

2015

2007

2014

since 2012, originally named StormDB

Current release

14.1, August 2023

10 R1, October 2018

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

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

Server operating systems

hosted

All OS with a Java VM

Linux
macOS

Data scheme

yes

schema-free

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.

yes

XML type, but no XML query functionality

Secondary indexes

yes

all search fields are automatically indexed

yes

SQL

Support of SQL

yes

through Apache Derby

yes

distributed, parallel query execution

APIs and other access methods

HTTP API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JCache
JPA
RESTful HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C
Java
Scala

.Net
C++
Java

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

MVCC

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

fine grained access rights according to SQL-standard

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

show all

Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

AWS to discontinue Cloud9, CodeCommit, CloudSearch and several other services
31 July 2024, Neowin

AWS is quietly killing off some services under its new CEO
31 July 2024, The Stack

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month
12 April 2012, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

provided by Google News

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, Oracle

Oracle WebLogic Server on Azure Virtual Machines major release now available
22 September 2020, azure.microsoft.com

Hazelcast takes on proprietary Oracle in the In-Memory arena
17 June 2014, DatacenterDynamics

Oracle launches Oracle Banking Cloud Services
8 February 2023, The Paypers

Use your Universal Credits with Oracle WebLogic Server for OKE
15 October 2020, Oracle

provided by Google News

Share this page