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DBMS > HEAVY.AI vs. Oracle Berkeley DB vs. RDFox vs. RocksDB

System Properties Comparison HEAVY.AI vs. Oracle Berkeley DB vs. RDFox vs. RocksDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDFox  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used in-process key-value storeHigh performance knowledge graph and semantic reasoning engineEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Key-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.25
Rank#317  Overall
#26  Graph DBMS
#15  RDF stores
Score4.52
Rank#80  Overall
#10  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oxfordsemantic.techrocksdb.org
Technical documentationdocs.heavy.aidocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oxfordsemantic.techgithub.com/­facebook/­rocksdb/­wiki
DeveloperHEAVY.AI, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleOxford Semantic TechnologiesFacebook, Inc.
Initial release2016199420172013
Current release5.10, January 202218.1.40, May 20206.0, Septermber 20228.10.0, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infocommercial license availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)C++C++
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyes infoRDF schemasschema-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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesno
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP API
SPARQL 1.1
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.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
C
Java
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationreplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRoles, resources, and access typesno

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle Berkeley DBRDFoxRocksDB
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