DBMS > Dgraph vs. Microsoft SQL Server

System Properties Comparison Dgraph vs. Microsoft SQL Server

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Microsofts relational DBMS

Primary database model

Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

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

Score	1.61
Rank	#134	Overall
	#9	Graph DBMS

Score	1062.76
Rank	#3	Overall
	#3	Relational DBMS

Website

dgraph.io

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

Technical documentation

docs.dgraph.io

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

Developer

Dgraph Labs, Inc.

Microsoft

Initial release

2016

1989

Current release

SQL Server 2019, November 2019

License

Commercial or Open Source

Open Source info

Apache 2.0

commercial info

restricted free version is available

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++

Server operating systems

Linux
OS X
Windows

Linux
Windows

Data scheme

schema-free

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

SQL

Support of SQL

yes

APIs and other access methods

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

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

Supported programming languages

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

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

Server-side scripts info

Stored procedures

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

yes

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

Replication methods info

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

yes, but depending on the SQL-Server Edition

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

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

Planned for future releases

fine grained access rights according to SQL-standard

More information provided by the system vendor

Competitive advantages

Horizontally scalable transactional graph database with fast arbitrary-depth joins...
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