DBMS > Dgraph vs. EsgynDB vs. GeoMesa vs. Oracle Coherence vs. Pinecone

System Properties Comparison Dgraph vs. EsgynDB vs. GeoMesa vs. Oracle Coherence vs. Pinecone

Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Oracles in-memory data grid solution

A managed, cloud-native vector database

Primary database model

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	3.16
Rank	#95	Overall
	#2	Vector DBMS

Website

dgraph.io

www.esgyn.cn

www.geomesa.org

www.oracle.com/java/coherence

www.pinecone.io

Technical documentation

dgraph.io/docs

www.geomesa.org/documentation/stable/user/index.html

docs.oracle.com/en/middleware/standalone/coherence

docs.pinecone.io/docs/overview

Developer

Dgraph Labs, Inc.

Esgyn

CCRi and others

Oracle

Pinecone Systems, Inc

Initial release

2016

2015

2014

2007

2019

Current release

4.0.5, February 2024

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache License 2.0

commercial

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++, Java

Scala

Java

Server operating systems

Linux
OS X
Windows

Linux

All OS with a Java VM

hosted

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

String, Number, Boolean

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

JCache
JPA
RESTful HTTP API

RESTful HTTP API

Supported programming languages

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

All languages supporting JDBC/ODBC/ADO.Net

.Net
C++
Java

Python

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

depending on storage layer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Multi-source replication between multi datacenters

depending on storage layer

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

In-memory capabilities

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

depending on storage layer

yes

User concepts

Access control

Planned for future releases

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

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

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

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

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Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

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16 January 2024, Datanami

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

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