DBMS > Amazon CloudSearch vs. OpenSearch vs. SAP Adaptive Server vs. SQL.JS vs. Teradata

System Properties Comparison Amazon CloudSearch vs. OpenSearch vs. SAP Adaptive Server vs. SQL.JS vs. Teradata

Editorial information provided by DB-Engines

Name

Description

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

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Port of SQLite to JavaScript

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Search engine

Relational DBMS

Secondary database models

Vector DBMS

Spatial DBMS

with Boeing's Spatial Query Server

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	1.85
Rank	#137	Overall
	#12	Search engines

Score	16.36
Rank	#37	Overall
	#4	Search engines

Score	36.31
Rank	#25	Overall
	#17	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Score	45.33
Rank	#21	Overall
	#15	Relational DBMS

Website

aws.amazon.com/cloudsearch

github.com/opensearch-project
opensearch.org

www.sap.com/products/technology-platform/sybase-ase.html

sql.js.org

www.teradata.com

Technical documentation

docs.aws.amazon.com/cloudsearch

opensearch.org/docs/latest

help.sap.com/docs/SAP_ASE

sql.js.org/documentation/index.html

docs.teradata.com

Developer

Amazon

Amazon Web Services

SAP, Sybase

Alon Zakai

enhancements implemented by others

Teradata

Initial release

2012

2021

1987

2012

1984

Current release

2.5.0, January 2023

16.0

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Open Source

commercial

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.

Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.

Implementation language

Java

C and C++

JavaScript

Server operating systems

hosted

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Unix
Windows

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

hosted
Linux

Data scheme

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

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

Secondary indexes

yes

all search fields are automatically indexed

yes

All search fields are automatically indexed

yes

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

SQL

Support of SQL

SQL-like query language

yes

SQL-92 is not fully supported

yes

SQL 2016 + extensions

APIs and other access methods

HTTP API

Java API
RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

JavaScript API

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

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C
C++
Cobol
Java
Java
Perl
PHP
Python

JavaScript

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

Server-side scripts

Stored procedures

yes

Java and Transact-SQL

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

horizontal partitioning

none

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

yes

Multi-source replication
Source-replica replication

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
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Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
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