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DBMS > AlaSQL vs. CouchDB vs. IRONdb vs. Tkrzw vs. Transwarp Hippo

System Properties Comparison AlaSQL vs. CouchDB vs. IRONdb vs. Tkrzw vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonIRONdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSKey-value storeVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitealasql.orgcouchdb.apache.orgwww.circonus.com/solutions/time-series-database/dbmx.net/­tkrzwwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationgithub.com/­AlaSQL/­alasqldocs.couchdb.org/­en/­stabledocs.circonus.com/irondb/category/getting-started
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCirconus LLC.Mikio Hirabayashi
Initial release20142005201720202023
Current release3.3.3, December 2023V0.10.20, January 20180.9.3, August 20201.0, May 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptErlangC and C++C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Linux
macOS
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyes infotext, numeric, histogramsnoVector, Numeric and String
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.nonononono
Secondary indexesnoyes infovia viewsnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJavaScript APIRESTful HTTP/JSON APIHTTP APIRESTful HTTP API
Supported programming languagesJavaScriptC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes, in Luanono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Automatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoatomic operations within a single document possiblenono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infousing specific database classesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databasenonoRole based access control and fine grained access rights

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More resources
AlaSQLCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"IRONdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp Hippo
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