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DBMS > HEAVY.AI vs. Oracle vs. PostgreSQL vs. RocksDB

System Properties Comparison HEAVY.AI vs. Oracle vs. PostgreSQL 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  Xexclude from comparisonPostgreSQL  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 RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­databasewww.postgresql.orgrocksdb.org
Technical documentationdocs.heavy.aidocs.oracle.com/­en/­databasewww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperHEAVY.AI, Inc.OraclePostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.
Initial release201619801989 info1989: Postgres, 1996: PostgreSQL2013
Current release5.10, January 202223c, September 202316.3, May 20249.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++CC++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyes infoSchemaless in JSON and XML columnsyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoPL/SQL infoalso stored procedures in Java possibleuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoisolation level can be parameterizedACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OraclePostgreSQLRocksDB
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Las Vegas, 9-12 September 2024

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