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DBMS > Amazon Neptune vs. Blazegraph vs. Ingres vs. Oracle Berkeley DB

System Properties Comparison Amazon Neptune vs. Blazegraph vs. Ingres vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBlazegraph  Xexclude from comparisonIngres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionFast, reliable graph database built for the cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Well established RDBMSWidely used in-process key-value store
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­neptuneblazegraph.comwww.actian.com/­databases/­ingreswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationaws.amazon.com/­neptune/­developer-resourceswiki.blazegraph.comdocs.actian.com/­ingresdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonBlazegraphActian CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201720061974 infooriginally developed at University Berkely in early 1970s1994
Current release2.1.5, March 201911.2, May 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialOpen 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 languageJavaCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesno
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.nono infobut tools for importing/exporting data from/to XML-files availableyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.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 proceduresnoyesyesno
Triggersnonoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.yesIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardno

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More resources
Amazon NeptuneBlazegraphIngresOracle Berkeley DB
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