DBMS > Altibase vs. Amazon CloudSearch vs. Dgraph vs. SAP HANA

System Properties Comparison Altibase vs. Amazon CloudSearch vs. Dgraph vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

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

Distributed and scalable native Graph DBMS

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

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	0.87
Rank	#200	Overall
	#93	Relational DBMS

Score	1.86
Rank	#133	Overall
	#12	Search engines

Score	1.39
Rank	#155	Overall
	#15	Graph DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Website

altibase.com

aws.amazon.com/cloudsearch

dgraph.io

www.sap.com/products/hana.html

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.aws.amazon.com/cloudsearch

dgraph.io/docs

help.sap.com/hana

Developer

Altibase

Amazon

Dgraph Labs, Inc.

SAP

Initial release

1999

2012

2016

2010

Current release

v7.3, 2023, August 2023

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Apache 2.0

commercial

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

C++

Server operating systems

AIX
HP-UX
Linux

hosted

Linux
OS X
Windows

Appliance or cloud-service

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.

Secondary indexes

yes

all search fields are automatically indexed

yes

SQL

Support of SQL

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

HTTP API

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
ODBC

Supported programming languages

C
C++
Java

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

stored procedures and stored functions

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

automatic partitioning across Amazon Search Instance as required

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Synchronous replication via Raft

yes

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

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

authentication via encrypted signatures

Planned for future releases

yes

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