Featured Products: Neo4j Milvus RaimaDB SingleStore Datastax Astra

DBMS > Amazon CloudSearch vs. DolphinDB vs. Postgres-XL vs. SQL.JS

System Properties Comparison Amazon CloudSearch vs. DolphinDB vs. Postgres-XL vs. SQL.JS

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

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

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

Port of SQLite to JavaScript

Primary database model

Time Series DBMS
Vector DBMS

Relational DBMS

Relational DBMS

Secondary database models

Relational DBMS

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	2.72
Rank	#100	Overall
	#8	Time Series DBMS
	#5	Vector DBMS

Score	0.43
Rank	#260	Overall
	#119	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

aws.amazon.com/cloudsearch

www.dolphindb.com

www.postgres-xl.org

Technical documentation

docs.aws.amazon.com/cloudsearch

docs.dolphindb.cn/en/help200/index.html

www.postgres-xl.org/documentation

sql.js.org/documentation/index.html

Developer

Amazon

DolphinDB, Inc

Alon Zakai

enhancements implemented by others

Initial release

2012

2018

2014

since 2012, originally named StormDB

2012

Current release

v2.00.4, January 2022

10 R1, October 2018

License

Commercial or Open Source

commercial

commercial

free community version available

Open Source

Mozilla public license

Open Source

Cloud-based only

Only available as a cloud service

yes

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C

JavaScript

Server operating systems

hosted

Linux
Windows

Linux
macOS

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

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.

no

yes

XML type, but no XML query functionality

no

Secondary indexes

yes

all search fields are automatically indexed

yes

yes

SQL

Support of SQL

no

SQL-like query language

yes

distributed, parallel query execution

yes

SQL-92 is not fully supported

APIs and other access methods

HTTP API

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

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

JavaScript API

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

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

JavaScript

Server-side scripts

Stored procedures

no

yes

user defined functions

no

Triggers

no

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

horizontal partitioning

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

no

no

yes

yes

Transaction concepts

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

no

yes

ACID

MVCC

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

no

yes

User concepts

Access control

authentication via encrypted signatures

Administrators, Users, Groups

fine grained access rights according to SQL-standard

no

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

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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

AWS closes several cloud services to new customers
8 August 2024, InfoWorld

provided by Google News

9 Best JavaScript and TypeScript ORMs for 2024
22 March 2023, SitePoint

SQLite On The Web: Absurd-sql
24 August 2021, Hackaday

Running PostgreSQL Inside Your Browser
8 September 2022, iProgrammer

React Native for beginners
31 October 2018, hackernoon.com

10 Low-Code Rules for Serious Coders
21 November 2022, Embedded Computing Design

provided by Google News

Share this page

Featured Products

Present your product here