DBMS > Aerospike vs. AnzoGraph DB vs. Oracle Berkeley DB vs. RocksDB

System Properties Comparison Aerospike vs. AnzoGraph DB vs. Oracle Berkeley DB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

Widely used in-process key-value store

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS

Graph DBMS
RDF store

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Key-value store

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

Score	5.78
Rank	#61	Overall
	#11	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS

Score	0.23
Rank	#307	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	2.21
Rank	#117	Overall
	#20	Key-value stores
	#3	Native XML DBMS

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Website

aerospike.com

cambridgesemantics.com/anzograph

www.oracle.com/database/technologies/related/berkeleydb.html

rocksdb.org

Technical documentation

docs.aerospike.com

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

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

github.com/facebook/rocksdb/wiki

Social network pages

Developer

Aerospike

Cambridge Semantics

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Facebook, Inc.

Initial release

2012

2018

1994

2013

Current release

7.0, November 2023

2.3, January 2021

18.1.40, May 2020

8.11.4, April 2024

License

Commercial or Open Source

Open Source

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

commercial

free trial version available

Open Source

commercial license available

Open Source

BSD

Cloud-based only

Only available as a cloud service

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)

C++

Server operating systems

Linux

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Linux

Data scheme

schema-free

Schema-free and OWL/RDFS-schema support

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

SPARQL and SPARQL* as primary query language. Cypher preview.

yes

SQL interfaced based on SQLite is available

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

C++ API
Java API

Supported programming languages

.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby

C++
Java
Python

.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

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

with Lua

user defined functions and aggregates

Triggers

yes

only for the SQL API

Partitioning methods

Methods for storing different data on different nodes

Sharding

Automatic sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication in MPP-Cluster

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

Kerberos/HDFS data loading

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Immediate Consistency in MPP-Cluster

Foreign keys

Referential integrity

not needed in graphs

Transaction concepts

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

Atomic execution of operations

ACID

yes

Concurrency

Support for concurrent manipulation of data

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.

yes

User concepts

Access control

Access rights for users and roles

with Enterprise Edition only

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
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Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
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Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
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Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
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Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
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News

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.