DBMS > Amazon Neptune vs. Oracle Berkeley DB

System Properties Comparison Amazon Neptune vs. Oracle Berkeley DB

Please select another system to include it in the comparison.

Our visitors often compare Amazon Neptune and Oracle Berkeley DB with MongoDB, RocksDB and Redis.

Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

Widely used in-process key-value store

Primary database model

Graph DBMS
RDF store

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

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

Score	2.60
Rank	#123	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	3.38
Rank	#101	Overall
	#19	Key-value stores
	#3	Native XML DBMS

Website

aws.amazon.com/neptune

www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html

Technical documentation

aws.amazon.com/neptune/developer-resources

docs.oracle.com/cd/E17076_05/html/index.html

Developer

Amazon

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Initial release

2017

1994

Current release

18.1.40, May 2020

License

Commercial or Open Source

commercial

Open Source

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

C, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

hosted

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Data scheme

schema-free

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.

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Server-side scripts

Stored procedures

Triggers

yes

only for the SQL API

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

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

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

User concepts

Access control

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

More information provided by the system vendor

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

Recent citations in the news

AWS Announces Amazon Neptune Serverless
26 October 2022, Business Wire

AWS debuts Amazon Neptune Serverless to optimize graph database environments
27 October 2022, SiliconANGLE News

AWS Launches Amazon Neptune Serverless
28 October 2022, Datanami

AWS makes Neptune, its graph database service, serverless
27 October 2022, TechCrunch

Amazon Neptune Now Supports Serverless Deployment Option
1 November 2022, InfoQ.com

provided by Google News

Fedora Looking To Transition The RPM Database From Berkeley DB To SQLite
16 March 2020, Phoronix

Oracle Berkeley DB - Market Share, Competitor Insights in Database
17 March 2023, 6Sense

Oracle Berkeley DB
13 January 2023, oracle.com

Error installing on Mac - Build does not support Berkeley DB database format
28 November 2022, bitcoin.stackexchange.com

How can I use .dll or .lib Berkeley DB C++?
11 January 2023, stackoverflow.com

provided by Google News

Job opportunities

AWS Site Reliability Engineer
Huntington Bank, Columbus, OH

DevOps Engineer II
ALTR Solutions, United States

Senior Data Engineer
DELUXE CORPORATION, Atlanta, GA

Application DBA (Sr. Level)
The Swift Group, Bethesda, MD

Senior Data Engineer - Hybrid
DELUXE CORPORATION, Minneapolis, MN

jobs by

Share this page