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DBMS > HEAVY.AI vs. InfinityDB vs. OushuDB vs. Tibero vs. VictoriaMetrics

System Properties Comparison HEAVY.AI vs. InfinityDB vs. OushuDB vs. Tibero vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfinityDB  Xexclude from comparisonOushuDB  Xexclude from comparisonTibero  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Java embedded Key-Value Store which extends the Java Map interfaceA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA secure RDBMS, designed for easy portability from OracleA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
boilerbay.comwww.oushu.com/­product/­oushuDBus.tmaxsoft.com/­products/­tiberovictoriametrics.com
Technical documentationdocs.heavy.aiboilerbay.com/­infinitydb/­manualwww.oushu.com/­documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHEAVY.AI, Inc.Boiler Bay Inc.OushuTmaxSoftVictoriaMetrics
Initial release2016200220032018
Current release5.10, January 20224.04.0.1, August 20206, April 2015v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercialOpen Source infoApache Version 2.0
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 CUDAJavaC and AssemblerGo
Server operating systemsLinuxAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nonoyesno
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLyesnoFull-featured ANSI SQL supportyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaC
C++
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyesPersistent Stored Procedure (PSM)no
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneyeshorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono infoplanned for next versionno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoKerberos, SSL and role based accessfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfinityDBOushuDBTiberoVictoriaMetrics
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