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DBMS > DolphinDB vs. etcd vs. GridDB vs. KeyDB

System Properties Comparison DolphinDB vs. etcd vs. GridDB vs. KeyDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonetcd  Xexclude from comparisonGridDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelTime Series DBMSKey-value storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitewww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
griddb.netgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netdocs.keydb.dev
DeveloperDolphinDB, IncToshiba CorporationEQ Alpha Technology Ltd.
Initial release201820132019
Current releasev2.00.4, January 20223.4, August 20195.1, August 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++C++
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
LinuxLinux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infonumerical, string, blob, geometry, boolean, timestamppartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesnoyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like query languagenoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesnonoLua
Triggersnoyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID at container levelOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAdministrators, Users, GroupsnoAccess rights for users can be defined per databasesimple password-based access control and ACL
More information provided by the system vendor
DolphinDBetcdGridDBKeyDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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DolphinDBetcdGridDBKeyDB
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