DBMS > Amazon Neptune vs. etcd vs. Infobright vs. Realm vs. STSdb

System Properties Comparison Amazon Neptune vs. etcd vs. Infobright vs. Realm vs. STSdb

Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

A distributed reliable key-value store

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

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

Score	2.82
Rank	#108	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	10.88
Rank	#47	Overall
	#5	Key-value stores

Score	1.02
Rank	#173	Overall
	#84	Relational DBMS

Score	9.89
Rank	#49	Overall
	#8	Document stores

Score	0.01
Rank	#345	Overall
	#53	Key-value stores

Website

aws.amazon.com/neptune

etcd.io
github.com/etcd-io/etcd

ignitetech.com/softwarelibrary/infobrightdb

realm.io

github.com/STSSoft/STSdb4

Technical documentation

aws.amazon.com/neptune/developer-resources

etcd.io/docs
github.com/etcd-io/etcd/tree/master/Documentation

realm.io/docs

Developer

Amazon

Ignite Technologies Inc.; formerly InfoBright Inc.

Realm, acquired by MongoDB in May 2019

STS Soft SC

Initial release

2017

2005

2014

2011

Current release

3.4, August 2019

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

GPLv2, commercial license available

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

Server operating systems

hosted

FreeBSD
Linux
Windows

experimental

Linux
Windows

Android
Backend: server-less
iOS
Windows

Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

gRPC
JSON over HTTP

ADO.NET
JDBC
ODBC

.NET Client API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Java

with Android only
Objective-C
React Native
Swift

C#
Java

Server-side scripts

Stored procedures

runs within the applications so server-side scripts are unnecessary

Triggers

yes, watching key changes

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones high availability, asynchronous replication for up to 15 read replicas

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

Source-replica replication

none

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

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

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

In-Memory realm

User concepts

Access control

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

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

yes

More information provided by the system vendor

Specific characteristics

Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more

Competitive advantages

Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more

Typical application scenarios

Mobile Consumer Apps First-Line Worker Apps
» more

Key customers

Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more

Market metrics

Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more

Licensing and pricing models

Realm database is licensed under the Apache License v2.0.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

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