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DBMS > BigObject vs. Coveo vs. Faircom DB vs. HEAVY.AI

System Properties Comparison BigObject vs. Coveo vs. Faircom DB vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCoveo  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNative 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 hardware
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitebigobject.iowww.coveo.comwww.faircom.com/­products/­faircom-dbgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.bigobject.iodocs.coveo.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.heavy.ai
DeveloperBigObject, Inc.CoveoFairCom CorporationHEAVY.AI, Inc.
Initial release2015201219792016
Current releaseV12, November 20205.10, January 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++ and CUDA
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresLuanoyes info.Net, JavaScript, C/C++no
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes, 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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyestunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standard

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