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DBMS > HEAVY.AI vs. Ingres vs. LevelDB vs. Oracle Berkeley DB vs. TempoIQ

System Properties Comparison HEAVY.AI vs. Ingres vs. LevelDB vs. Oracle Berkeley DB vs. TempoIQ

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It 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 hardwareWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used in-process key-value storeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingresgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltempoiq.com (offline)
Technical documentationdocs.heavy.aidocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperHEAVY.AI, Inc.Actian CorporationGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleTempoIQ
Initial release20161974 infooriginally developed at University Berkely in early 1970s201119942012
Current release5.10, January 202211.2, May 20221.23, February 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSDOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDACC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyesnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.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
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnoyes infoonly for the SQL APIyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnonosimple authentication-based access control

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresLevelDBOracle Berkeley DBTempoIQ infoformerly TempoDB
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