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DBMS > DolphinDB vs. etcd vs. eXtremeDB vs. IBM Cloudant

System Properties Comparison DolphinDB vs. etcd vs. eXtremeDB vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonIBM Cloudant  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 storeNatively in-memory DBMS with options for persistency, high-availability and clusteringDatabase as a Service offering based on Apache CouchDB
Primary database modelTime Series DBMSKey-value storeRelational DBMS
Time Series DBMS
Document store
Secondary database modelsRelational 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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Websitewww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
www.mcobject.comwww.ibm.com/­products/­cloudant
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmcloud.ibm.com/­docs/­Cloudant
DeveloperDolphinDB, IncMcObjectIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release201820012010
Current releasev2.00.4, January 20223.4, August 20198.2, 2021
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC and C++Erlang
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono infosupport of XML interfaces availableno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infowith the option: eXtremeSQLno
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
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP/JSON API
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
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyesnoyesView functions (Map-Reduce) in JavaScript
Triggersnoyes, watching key changesyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoOptimistic locking
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.yesnoyesno
User concepts infoAccess controlAdministrators, Users, GroupsnoAccess rights for users can be defined per database
More information provided by the system vendor
DolphinDBetcdeXtremeDBIBM Cloudant
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DolphinDBetcdeXtremeDBIBM Cloudant
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