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DBMS > Coveo vs. GBase vs. HEAVY.AI vs. RocksDB

System Properties Comparison Coveo vs. GBase vs. HEAVY.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.coveo.comwww.gbase.cngithub.com/­heavyai/­heavydb
www.heavy.ai
rocksdb.org
Technical documentationdocs.coveo.comdocs.heavy.aigithub.com/­facebook/­rocksdb/­wiki
DeveloperCoveoGeneral Data Technology Co., Ltd.HEAVY.AI, Inc.Facebook, Inc.
Initial release2012200420162013
Current releaseGBase 8a, GBase 8s, GBase 8c5.10, January 20229.4.0, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC++ and CUDAC++
Server operating systemshostedLinuxLinuxLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoStandard with numerous extensionsyesno
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
C++ API
Java API
Supported programming languagesC#
Java
JavaScript
Python
C#All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersyesfine grained access rights according to SQL-standardno

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