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DBMS > Faircom DB vs. HEAVY.AI vs. Lovefield vs. Trafodion vs. XTDB

System Properties Comparison Faircom DB vs. HEAVY.AI vs. Lovefield vs. Trafodion vs. XTDB

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  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.
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A 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 JavaScriptTransactional SQL-on-Hadoop DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.faircom.com/­products/­faircom-dbgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldtrafodion.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdtrafodion.apache.org/­documentation.htmlwww.xtdb.com/­docs
DeveloperFairCom CorporationHEAVY.AI, Inc.GoogleApache Software Foundation, originally developed by HPJuxt Ltd.
Initial release19792016201420142019
Current releaseV12, November 20205.10, January 20222.1.12, February 20172.3.0, February 20191.19, September 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open 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 languageANSI C, C++C++ and CUDAJavaScriptC++, JavaClojure
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema free, schema optional, schema required, partial schema,yesyesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyesyes, 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 indexesyesnoyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesSQL-like query language infovia JavaScript builder patternyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptAll languages supporting JDBC/ODBC/ADO.NetClojure
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoJava Stored Proceduresno
TriggersyesnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoRound robinnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationnoneyes, 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 systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes, 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.yesyesyes infousing MemoryDBno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTrafodionXTDB infoformerly named Crux
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