DBMS > 4D vs. Amazon CloudSearch vs. SAP HANA vs. XTDB

System Properties Comparison 4D vs. Amazon CloudSearch vs. SAP HANA vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

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

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	1.81
Rank	#137	Overall
	#12	Search engines

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

www.4d.com

aws.amazon.com/cloudsearch

www.sap.com/products/hana.html

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

developer.4d.com

docs.aws.amazon.com/cloudsearch

help.sap.com/hana

www.xtdb.com/docs

Developer

4D, Inc

Amazon

SAP

Juxt Ltd.

Initial release

1984

2012

2010

2019

Current release

v20, April 2023

2.0 SPS07 (April 4, 2023), April 2023

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

MIT License

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

Clojure

Server operating systems

OS X
Windows

hosted

Appliance or cloud-service

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

SQL

Support of SQL

yes

close to SQL 92

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API

JDBC
ODBC

HTTP REST
JDBC

Supported programming languages

4D proprietary IDE
PHP

Clojure
Java

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

automatic partitioning across Amazon Search Instance as required

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

managed transparently by AWS

yes

yes, each node contains all data

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

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

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

Users and groups

authentication via encrypted signatures

yes

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