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DBMS > Altibase vs. Google Cloud Datastore vs. HEAVY.AI vs. OrigoDB vs. RDF4J

System Properties Comparison Altibase vs. Google Cloud Datastore vs. HEAVY.AI vs. OrigoDB vs. RDF4J

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Object oriented DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitealtibase.comcloud.google.com/­datastoregithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comrdf4j.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­datastore/­docsdocs.heavy.aiorigodb.com/­docsrdf4j.org/­documentation
DeveloperAltibaseGoogleHEAVY.AI, Inc.Robert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release1999200820162009 infounder the name LiveDB2004
Current releasev7.3, 2023, August 20235.10, January 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDAC#Java
Server operating systemsAIX
HP-UX
Linux
hostedLinuxLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes, details hereyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query language (GQL)yesnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C++
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.NetJava
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsusing Google App Enginenoyesyes
TriggersyesCallbacks using the Google Apps Enginenoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoin-memory storage is supported as well
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-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole based authorizationno

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More resources
AltibaseGoogle Cloud DatastoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OrigoDBRDF4J infoformerly known as Sesame
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