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DBMS > Coveo vs. etcd vs. GridDB vs. H2GIS vs. JaguarDB

System Properties Comparison Coveo vs. etcd vs. GridDB vs. H2GIS vs. JaguarDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonetcd  Xexclude from comparisonGridDB  Xexclude from comparisonH2GIS  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataSpatial extension of H2Performant, highly scalable DBMS for AI and IoT applications
Primary database modelSearch engineKey-value storeTime Series DBMSSpatial DBMSKey-value store
Vector DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websitewww.coveo.cometcd.io
github.com/­etcd-io/­etcd
griddb.netwww.h2gis.orgwww.jaguardb.com
Technical documentationdocs.coveo.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netwww.h2gis.org/­docs/­homewww.jaguardb.com/­support.html
DeveloperCoveoToshiba CorporationCNRSDataJaguar, Inc.
Initial release2012201320132015
Current release3.4, August 20195.1, August 20223.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoLGPL 3.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaC++ infothe server part. Clients available in other languages
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
LinuxLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)yesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes infobased on H2no
Triggersyesyes, watching key changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes infobased on H2Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlgranular access controls, API key management, content filtersnoAccess rights for users can be defined per databaseyes infobased on H2rights management via user accounts
More information provided by the system vendor
CoveoetcdGridDBH2GISJaguarDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CoveoetcdGridDBH2GISJaguarDB
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