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DBMS > Amazon Aurora vs. Badger vs. GigaSpaces vs. Oracle Berkeley DB

System Properties Comparison Amazon Aurora vs. Badger vs. GigaSpaces vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWidely used in-process key-value store
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­dgraph-io/­badgerwww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonDGraph LabsGigaspaces TechnologiesOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2015201720001994
Current release15.5, September 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono infoXML can be used for describing objects metadatayes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go.Net
C++
Java
Python
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnoyes, event driven architectureyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlno

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More resources
Amazon AuroraBadgerGigaSpacesOracle Berkeley DB
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