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DBMS > HEAVY.AI vs. Lovefield vs. MaxDB vs. Oracle Rdb vs. VictoriaMetrics

System Properties Comparison HEAVY.AI vs. Lovefield vs. MaxDB vs. Oracle Rdb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonOracle Rdb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptA robust and reliable RDBMS optimized to run all major SAP solutionsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldmaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlvictoriametrics.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmaxdb.sap.com/­documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHEAVY.AI, Inc.GoogleSAP, acquired from Software AG (Adabas-D) in 1997Oracle, originally developed by Digital Equipment Corporation (DEC)VictoriaMetrics
Initial release20162014198419842018
Current release5.10, January 20222.1.12, February 20177.9.10.12, February 20247.4.1.1, 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial infoLimited community edition freecommercialOpen 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 CUDAJavaScriptC++Go
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
Solaris
Windows
HP Open VMSFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternyesyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
WebDAV
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyesno
TriggersnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMaxDB infoformerly named Adabas-DOracle RdbVictoriaMetrics
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