DBMS > Fujitsu Enterprise Postgres vs. HyperSQL vs. Memgraph vs. Microsoft Azure Table Storage vs. OpenSearch

System Properties Comparison Fujitsu Enterprise Postgres vs. HyperSQL vs. Memgraph vs. Microsoft Azure Table Storage vs. OpenSearch

Editorial information provided by DB-Engines

Name

Description

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

An open source graph database built for real-time streaming and compatible with Neo4j

A Wide Column Store for rapid development using massive semi-structured datasets

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

Primary database model

Secondary database models

Document store
Spatial DBMS

Vector DBMS

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Trend Chart

Score	0.37
Rank	#278	Overall
	#128	Relational DBMS

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	3.19
Rank	#94	Overall
	#8	Graph DBMS

Score	4.04
Rank	#77	Overall
	#6	Wide column stores

Score	16.03
Rank	#37	Overall
	#4	Search engines

Website

www.postgresql.fastware.com

hsqldb.org

memgraph.com

azure.microsoft.com/en-us/services/storage/tables

github.com/opensearch-project
opensearch.org

Technical documentation

www.postgresql.fastware.com/product-manuals

hsqldb.org/web/hsqlDocsFrame.html

memgraph.com/docs

opensearch.org/docs/latest

Social network pages

Developer

PostgreSQL Global Development Group, Fujitsu Australia Software Technology

Memgraph Ltd

Microsoft

Amazon Web Services

Initial release

2001

2017

2012

2021

Current release

Fujitsu Enterprise Postgres 14, January 2022

2.7.2, June 2023

2.5.0, January 2023

License

Commercial or Open Source

commercial

Open Source

based on BSD license

Open Source

BSL 1.1; commercial license for enterprise edition available

commercial

Open Source

Apache Version 2.0

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.

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Implementation language

Java

C and C++

Java

Server operating systems

Linux
Windows

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux

hosted

All OS with a Java VM

Data scheme

yes

schema-free and schema-optional

schema-free

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

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

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

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

HTTP API

JDBC via HTTP
JDBC
ODBC

Bolt protocol
Cypher query language

RESTful HTTP API

Java API
RESTful HTTP/JSON API

Supported programming languages

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

All languages supporting JDBC/ODBC
Java

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

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

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Server-side scripts

Stored procedures

user defined functions

Java, SQL

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

partitioning by range, list and by hash

none

Sharding

dynamic graph partitioning

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Multi-source replication using RAFT

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

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

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

with snapshot isolation

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

Users, roles and permissions

Access rights based on private key authentication or shared access signatures

More information provided by the system vendor

Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

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

Competitive advantages

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more

Typical application scenarios

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Licensing and pricing models

You can check out our pricing model and licenses on the company website .
» more

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

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