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DBMS > Coveo vs. GeoMesa vs. Hive vs. TigerGraph

System Properties Comparison Coveo vs. GeoMesa vs. Hive vs. TigerGraph

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineSpatial DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.coveo.comwww.geomesa.orghive.apache.orgwww.tigergraph.com
Technical documentationdocs.coveo.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tigergraph.com
DeveloperCoveoCCRi and othersApache Software Foundation infoinitially developed by Facebook
Initial release2012201420122017
Current release4.0.5, February 20243.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Python
C++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
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.depending on storage layerno
User concepts infoAccess controlgranular access controls, API key management, content filtersyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesRole-based access control

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More resources
CoveoGeoMesaHiveTigerGraph
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