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DBMS > Badger vs. CouchDB vs. Google Cloud Spanner vs. GreptimeDB vs. ObjectBox

System Properties Comparison Badger vs. CouchDB vs. Google Cloud Spanner vs. GreptimeDB vs. ObjectBox

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGreptimeDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source Time Series DBMS built for increased scalability, high performance and efficiencyExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgercouchdb.apache.orgcloud.google.com/­spannergreptime.comobjectbox.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.couchdb.org/­en/­stablecloud.google.com/­spanner/­docsdocs.greptime.comdocs.objectbox.io
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleGreptime Inc.ObjectBox Limited
Initial release20172005201720222017
Current release3.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangRustC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 indexesnoyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
gRPC
HTTP API
JDBC
Proprietary native API
Supported programming languagesGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoPythonno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nononono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountsyes
More information provided by the system vendor
BadgerCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud SpannerGreptimeDBObjectBox
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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