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DBMS > Badger vs. Dragonfly vs. Google Cloud Bigtable vs. Rockset

System Properties Comparison Badger vs. Dragonfly vs. Google Cloud Bigtable vs. Rockset

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeKey-value storeKey-value store
Wide column store
Document store
Secondary database modelsRelational 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­bigtablerockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docsdocs.rockset.com
DeveloperDGraph LabsDragonflyDB team and community contributorsGoogleRockset
Initial release2017202320152019
Current release1.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxhostedhosted
Data schemeschema-freescheme-freeschema-freeschema-free
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysnodynamic 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 indexesnononoall fields are automatically indexed
SQL infoSupport of SQLnononoRead-only SQL queries, including JOINs
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
Supported programming languagesGoC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuanono
Triggersnopublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.noyesno
User concepts infoAccess controlnoPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console

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More resources
BadgerDragonflyGoogle Cloud BigtableRockset
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