DBMS > Dgraph vs. Microsoft Azure Synapse Analytics vs. SQream DB vs. TinkerGraph

System Properties Comparison Dgraph vs. Microsoft Azure Synapse Analytics vs. SQream DB vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

a GPU-based, columnar RDBMS for big data analytics workloads

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Graph DBMS

Relational DBMS

Graph DBMS

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	20.56
Rank	#31	Overall
	#19	Relational DBMS

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Score	0.08
Rank	#348	Overall
	#35	Graph DBMS

Website

dgraph.io

azure.microsoft.com/services/synapse-analytics

sqream.com

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

dgraph.io/docs

docs.microsoft.com/azure/synapse-analytics

docs.sqream.com

Developer

Dgraph Labs, Inc.

Microsoft

SQream Technologies

Initial release

2016

2017

2009

Current release

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache 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.

Implementation language

C++

C++, CUDA, Haskell, Java, Scala

Java

Server operating systems

Linux
OS X
Windows

hosted

Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL 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.

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

.Net
JDBC
ODBC

TinkerPop 3

Supported programming languages

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

C#
Java
PHP

C++
Java
JavaScript (Node.js)
Python

Groovy
Java

Server-side scripts

Stored procedures

Transact SQL

user defined functions in Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding, horizontal partitioning

horizontal and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Relationships in graphs

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

optional

In-memory capabilities

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

yes

User concepts

Access control

Planned for future releases

yes

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