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DBMS > HEAVY.AI vs. Kinetica vs. Oracle Berkeley DB vs. Sequoiadb vs. Teradata Aster

System Properties Comparison HEAVY.AI vs. Kinetica vs. Oracle Berkeley DB vs. Sequoiadb vs. Teradata Aster

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeNewSQL database with distributed OLTP and SQLPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sequoiadb.com
Technical documentationdocs.heavy.aidocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperHEAVY.AI, Inc.KineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleSequoiadb Ltd.Teradata
Initial release20162012199420132005
Current release5.10, January 20227.1, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infocommercial license availableOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC, C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinuxLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyes infooid, date, timestamp, binary, regexyes
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.nonoyes infoonly with the Berkeley DB XML editionnoyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
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
.Net
C++
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScriptR packages
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnosimple password-based access controlfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaOracle Berkeley DBSequoiadbTeradata Aster
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