DBMS > Amazon Neptune vs. eXtremeDB vs. GreptimeDB

System Properties Comparison Amazon Neptune vs. eXtremeDB vs. GreptimeDB

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

Natively in-memory DBMS with options for persistency, high-availability and clustering

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Primary database model

Graph DBMS
RDF store

Relational DBMS
Time Series DBMS

Time Series DBMS

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

Score	2.11
Rank	#111	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	0.88
Rank	#196	Overall
	#92	Relational DBMS
	#17	Time Series DBMS

Score	0.13
Rank	#335	Overall
	#30	Time Series DBMS

Website

aws.amazon.com/neptune

www.mcobject.com

greptime.com

Technical documentation

aws.amazon.com/neptune/developer-resources

www.mcobject.com/docs/extremedb.htm

docs.greptime.com

Developer

Amazon

McObject

Greptime Inc.

Initial release

2017

2001

2022

Current release

8.2, 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 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 and C++

Rust

Server operating systems

hosted

AIX
HP-UX
Linux
macOS
Solaris
Windows

Android
Docker
FreeBSD
Linux
macOS
Windows

Data scheme

schema-free

yes

schema-free, schema definition possible

Typing

predefined data types such as float or date

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.

support of XML interfaces available

Secondary indexes

yes

SQL

Support of SQL

yes

with the option: eXtremeSQL

yes

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

gRPC
HTTP API
JDBC

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

.Net
C
C#
C++
Java
Lua
Python
Scala

C++
Erlang
Go
Java
JavaScript

Server-side scripts

Stored procedures

yes

Python

Triggers

yes

by defining events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning / sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.

Active Replication Fabric™ for IoT
Multi-source replication

by means of eXtremeDB Cluster option
Source-replica replication

by means of eXtremeDB High Availability option

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Simple rights management via user accounts

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