DBMS > BaseX vs. Memgraph vs. PostgreSQL vs. Spark SQL

System Properties Comparison BaseX vs. Memgraph vs. PostgreSQL vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Native XML DBMS

Graph DBMS

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Relational DBMS

Secondary database models

Document store

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

Score	1.90
Rank	#128	Overall
	#4	Native XML DBMS

Score	0.08
Rank	#305	Overall
	#29	Graph DBMS

Score	552.23
Rank	#4	Overall
	#4	Relational DBMS

Score	18.74
Rank	#34	Overall
	#21	Relational DBMS

Website

Technical documentation

docs.basex.org

docs.memgraph.com

www.postgresql.org/docs

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

BaseX GmbH

Memgraph Ltd

PostgreSQL Global Development Group

www.postgresql.org/developer

Apache Software Foundation

Initial release

2007

2017

1989

1989: Postgres, 1996: PostgreSQL

2014

Current release

9.4.6, January 2021

13.1, November 2020

3.0.1, October 2020

License

Commercial or Open Source

Open Source

BSD license

commercial

Free license available

Open Source

BSD

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Java

C and C++

Scala

Server operating systems

Linux
OS X
Windows

Linux

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Linux
OS X
Windows

Data scheme

schema-free

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

XQuery supports types

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

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

Bolt protocol
Cypher query language

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

JDBC
ODBC

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

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

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Java
Python
R
Scala

Server-side scripts

Stored procedures

yes

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

via events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

dynamic graph partitioning

partitioning by range, list and (since PostgreSQL 11) by hash

yes, utilizing Spark Core

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication using RAFT

Source-replica replication

other methods possible by using 3rd party extensions

none

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

relationships in graphs

yes

Transaction concepts

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

multiple readers, single writer

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

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

Users with fine-grained authorization concept on 4 levels

Users, roles and permissions

fine grained access rights according to SQL-standard

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

3rd parties

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

EDB: Helping organizations get the most from PostgreSQL, Oracle Migration, High Availability, Security
» more

CYBERTEC is your professional partner for PostgreSQL services and Data Science since 2000. With offices in Austria, Uruguay, Estonia, Poland, South Africa and Switzerland, CYBERTEC operates worldwide and is here for you 24/7!
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Global XML Databases Software Market by Trends, Dynamic Innovation in Technology and Key Players| Altova, Apache, BaseX, Clusterpoint, eXistdb, Flexter, InterSystems, MarkLogic, Progress Technologies, Qualcomm Qizx, Sedna, Software AG, and More?
14 January 2021, Jumbo News

BaseX: Free, open source XML wrangling
3 March 2015, Network World

GraphQL And The Rise of Universal Data Access
28 October 2019, Forbes

Diagnosis Needed - Windows 7 - BleepingComputer
27 April 2020, BleepingComputer

provided by Google News

Graph Database Market 2021 Analysis By Organizations Size, New Technologies, Services, Solutions, Trends, Verticals and Geographical Analysis by 2025
19 January 2021, NeighborWebSJ

Graph database Market Opportunities, Size, Share, Emerging Trends, Technological Innovation and Forecasts
13 January 2021, MENAFN.COM

2021-2025 Graph Database Market | Global Analysis, Modeling, Risk Factors, Growth Strategies, Drivers, Dynamics, Forecast and more | COVID-19 Impact Analysis
13 January 2021, NeighborWebSJ

Graph Database Market , Regional and Global Key Players, Current Size, Forecast and Players Positioning – Memgraph, Cambridge Semantics, Fluree, Blazegraph
28 November 2020, Murphy's Hockey Law

the global graph database market size is projected to grow from USD 1.0 billion in 2019 to USD 2.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 22.2% during 2019–2024
9 October 2019, GlobeNewswire

provided by Google News

What the PostgreSQL community has done so right
30 December 2020, TechRepublic

Crunchy Data PostgreSQL Security Technical Implementation Guide Now Available
6 January 2021, PRNewswire

PostgreSQL Is DB-Engines DBMS of the Year For 2020
15 January 2021, iProgrammer

US Air Force selects Crunchy Data for Advanced Battle Management System
13 January 2021, PRNewswire

Know How RDBMS Software Market Is Thriving Continuously By Top Key Players | Microsoft, Oracle, PostgreSQL Global Development Group
19 January 2021, KSU | The Sentinel Newspaper

provided by Google News

Synapse Analytics Spark Example 2 – ROW_NUMBER() from Blog Posts – SQLServerCentral
19 January 2021, Packt Hub

Synapse Analytics Spark Example 1 – Group By from Blog Posts – SQLServerCentral
19 January 2021, Packt Hub

The 15 Best Big Data Courses on Udemy to Consider for 2021
14 January 2021, Solutions Review

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks
25 June 2020, Datanami

Dremio Officially a 'Unicorn' As it Reaches $1B Valuation
6 January 2021, Datanami

provided by Google News

Job opportunities

SQL Developer
Capgemini, Remote

Jr. QA Analyst Trainee
SQA², Los Alamitos, CA

PostgreSQL DBA II
Percona, Dallas, TX

Entry Level: Geospatial/Remote Sensing Analyst
Dewberry, Fairfax, VA

Data Analyst
Corporate Tools, Post Falls, ID

Data Engineer
Eventbrite, Nashville, TN

DataStage Developer
Smart IT Frame, Hartford, CT

Apache Spark-Lead
Wipro LTD, Englewood, CO

Data Engineer
INTOLON, Detroit, MI

Research Staff Member: 2021
IBM, United States

jobs by

Share this page