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DBMS > Badger vs. Kinetica vs. PouchDB vs. RavenDB vs. Rockset

System Properties Comparison Badger vs. Kinetica vs. PouchDB vs. RavenDB vs. Rockset

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKinetica  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeRelational DBMSDocument storeDocument storeDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.kinetica.compouchdb.comravendb.netrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.kinetica.compouchdb.com/­guidesravendb.net/­docsdocs.rockset.com
DeveloperDGraph LabsKineticaApache Software FoundationHibernating RhinosRockset
Initial release20172012201220102019
Current release7.1, August 20217.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++JavaScriptC#C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnonodynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesnoyesyes infovia viewsyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (RQL)Read-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoAuthorization levels configured per client per databaseAccess rights for users and organizations can be defined via Rockset console

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More resources
BadgerKineticaPouchDBRavenDBRockset
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