DBMS > Dgraph vs. Hyprcubd vs. Ingres vs. Transbase

System Properties Comparison Dgraph vs. Hyprcubd vs. Ingres vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Serverless Time Series DBMS

Well established RDBMS

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Graph DBMS

Time Series DBMS

Relational DBMS

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

Score	1.54
Rank	#143	Overall
	#11	Graph DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Score	6.10
Rank	#69	Overall
	#38	Relational DBMS

Score	0.07
Rank	#325	Overall
	#147	Relational DBMS

Website

dgraph.io

hyprcubd.com

www.actian.com/data-management/ingres-sql-rdbms

www.transaction.de/en/products/transbase.html

Technical documentation

dgraph.io/docs

docs.actian.com/ingres

www.transaction.de/en/products/transbase/features.html

Developer

Dgraph Labs, Inc.

Hyprcubd, Inc.

Actian Corporation

Transaction Software GmbH

Initial release

2016

1974

originally developed at University Berkely in early 1970s

1987

Current release

11.0, April 2017

Transbase 8.4, September 2020

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

free development license

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 and C++

Server operating systems

Linux
OS X
Windows

hosted

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

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

gRPC (https)

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

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

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Ingres Star to access multiple databases simultaneously

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Ingres Replicator

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

MVCC

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

User concepts

Access control

Planned for future releases

token access

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

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Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

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