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DBMS > Amazon Neptune vs. BigObject vs. Google Cloud Bigtable vs. Machbase Neo vs. Postgres-XL

System Properties Comparison Amazon Neptune vs. BigObject vs. Google Cloud Bigtable vs. Machbase Neo vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for real-time computations and queriesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.TimeSeries DBMS for AIoT and BigDataBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedKey-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­neptunebigobject.iocloud.google.com/­bigtablemachbase.comwww.postgres-xl.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bigobject.iocloud.google.com/­bigtable/­docsmachbase.com/­dbmswww.postgres-xl.org/­documentation
DeveloperAmazonBigObject, Inc.GoogleMachbase
Initial release20172015201520132014 infosince 2012, originally named StormDB
Current releaseV8.0, August 202310 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial infofree test version availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
macOS
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoLuanonouser defined functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardinghorizontal partitioning
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.noneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovolatile and lookup tableno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneBigObjectGoogle Cloud BigtableMachbase Neo infoFormer name was InfinifluxPostgres-XL
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