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DBMS > AllegroGraph vs. Google Cloud Bigtable vs. Graph Engine vs. HEAVY.AI vs. jBASE

System Properties Comparison AllegroGraph vs. Google Cloud Bigtable vs. Graph Engine vs. HEAVY.AI vs. jBASE

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Websiteallegrograph.comcloud.google.com/­bigtablewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperFranz Inc.GoogleMicrosoftHEAVY.AI, Inc.Rocket Software (formerly Zumasys)
Initial release20042015201020161991
Current release8.0, December 20235.10, January 20225.7
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ and CUDA
Server operating systemsLinux
OS X
Windows
hosted.NETLinuxAIX
Linux
Windows
Data schemeyes infoRDF schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesoptional
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.no infobulk load of XML files possiblenononoyes
Secondary indexesyesnono
SQL infoSupport of SQLSPARQL is used as query languagenonoyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesnoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioningSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
AllegroGraphGoogle Cloud BigtableGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASE
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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