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DBMS > BoltDB vs. Citus vs. Coveo vs. GreptimeDB vs. IBM Cloudant

System Properties Comparison BoltDB vs. Citus vs. Coveo vs. GreptimeDB vs. IBM Cloudant

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonCoveo  Xexclude from comparisonGreptimeDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDatabase as a Service offering based on Apache CouchDB
Primary database modelKey-value storeRelational DBMSSearch engineTime Series DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Websitegithub.com/­boltdb/­boltwww.citusdata.comwww.coveo.comgreptime.comwww.ibm.com/­products/­cloudant
Technical documentationdocs.citusdata.comdocs.coveo.comdocs.greptime.comcloud.ibm.com/­docs/­Cloudant
DeveloperCoveoGreptime Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20132010201220222010
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCRustErlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
hosted
Data schemeschema-freeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.noyes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIgRPC
HTTP API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
C++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noPythonView functions (Map-Reduce) in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardgranular access controls, API key management, content filtersSimple rights management via user accountsAccess rights for users can be defined per database
More information provided by the system vendor
BoltDBCitusCoveoGreptimeDBIBM Cloudant
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» 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
BoltDBCitusCoveoGreptimeDBIBM Cloudant
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