DBMS > Microsoft SQL Server vs. Neo4j vs. Teradata

System Properties Comparison Microsoft SQL Server vs. Neo4j vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

Open source graph database

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

Document store
Graph DBMS
Time Series DBMS

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

Score	1043.12
Rank	#3	Overall
	#3	Relational DBMS

Score	51.34
Rank	#21	Overall
	#1	Graph DBMS

Score	75.79
Rank	#14	Overall
	#9	Relational DBMS

Website

www.microsoft.com/en-us/sql-server

neo4j.com

www.teradata.com

Technical documentation

docs.microsoft.com/en-US/sql/sql-server

neo4j.com/docs

docs.teradata.com

Developer

Microsoft

Neo4j, Inc.

Teradata

Initial release

1989

2007

1984

Current release

SQL Server 2019, November 2019

4.1.3, October 2020

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial info

restricted free version is available

Open Source info

GPL version3, commercial licenses available

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

Java, Scala

Server operating systems

Linux
Windows

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

hosted
Linux

Data scheme

yes

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

yes

XML support info

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

pluggable indexing subsystem, by default Apache Lucene

yes

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

SQL

Support of SQL

yes

SQL 2016 + extensions

APIs and other access methods

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

Bolt protocol
Cypher query language
Java API
Neo4j-OGM info

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

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

Supported programming languages

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

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

Server-side scripts info

Stored procedures

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

yes

User defined Procedures and Functions

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

via event handler

yes

Partitioning methods info

Methods for storing different data on different nodes

tables can be distributed across several files (horizontal partitioning); sharding through federation

none

Sharding

Hashing

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Causal Clustering using Raft protocol info

available in in Enterprise Version only

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Immediate Consistency

Foreign keys info

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Neo4j is a native graph database platform that is built to store, query, analyze...
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Competitive advantages

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Typical application scenarios

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Key customers

Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
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Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
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Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

GRANDstack: Graphs All the Way Down
28 October 2020

Graphistania Podcast: Authors Discuss Graph Databases For Dummies
27 October 2020

This Week in Neo4j – Graph-Native Machine Learning in Neo4j, All About Super Nodes, Quick prototyping with GRAND stack
24 October 2020

#GraphCast: Graph Data Science Library
23 October 2020

Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!
22 October 2020

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