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DBMS > HEAVY.AI vs. LevelDB vs. Postgres-XL vs. TimesTen

System Properties Comparison HEAVY.AI vs. LevelDB vs. Postgres-XL vs. TimesTen

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbwww.postgres-xl.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentationdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperHEAVY.AI, Inc.GoogleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201620112014 infosince 2012, originally named StormDB1998
Current release5.10, January 20221.23, February 202110 R1, October 2018Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoMozilla public licensecommercial
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++C
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
macOS
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML type, but no XML query functionalityno
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
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
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonouser defined functionsPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDBPostgres-XLTimesTen
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