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DBMS > Dragonfly vs. Google Cloud Bigtable vs. JSqlDb vs. SingleStore

System Properties Comparison Dragonfly vs. Google Cloud Bigtable vs. JSqlDb vs. SingleStore

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJSqlDb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA 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.JavaScript Query Language Database, stores JavaScript objects and primitivesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeKey-value store
Wide column store
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#255  Overall
#38  Key-value stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­bigtablejsqldb.org (offline)www.singlestore.com
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docsdocs.singlestore.com
DeveloperDragonflyDB team and community contributorsGoogleKonrad von BackstromSingleStore Inc.
Initial release2023201520182013
Current release1.0, March 20230.8, December 20188.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Go
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux info64 bit version required
Data schemescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnonoyes
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
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
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
JavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanofunctions in JavaScriptyes
Triggerspublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Fine grained access control via users, groups and roles

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More resources
DragonflyGoogle Cloud BigtableJSqlDbSingleStore infoformer name was MemSQL
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