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DBMS > HEAVY.AI vs. Lovefield vs. openGauss vs. Trafodion vs. XTDB

System Properties Comparison HEAVY.AI vs. Lovefield vs. openGauss vs. Trafodion vs. XTDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonopenGauss  Xexclude from comparisonTrafodion  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 JavaScriptAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTransactional SQL-on-Hadoop DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldgitee.com/­opengauss
opengauss.org
trafodion.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trafodion.apache.org/­documentation.htmlwww.xtdb.com/­docs
DeveloperHEAVY.AI, Inc.GoogleHuawei and openGauss communityApache Software Foundation, originally developed by HPJuxt Ltd.
Initial release20162014201920142019
Current release5.10, January 20222.1.12, February 20173.0, March 20222.3.0, February 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0Open Source infoMIT License
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, C++, JavaC++, JavaClojure
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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 indexesnoyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternANSI SQL 2011yeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C++
Java
All languages supporting JDBC/ODBC/ADO.NetClojure
Java
Server-side scripts infoStored proceduresnonoyesJava Stored Proceduresno
TriggersnoUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioning (by range, list and hash)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationyes, via HBaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles 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 2022LovefieldopenGaussTrafodionXTDB infoformerly named Crux
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