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DBMS > AlaSQL vs. Apache Drill vs. CouchDB vs. Drizzle vs. etcd

System Properties Comparison AlaSQL vs. Apache Drill vs. CouchDB vs. Drizzle vs. etcd

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value store
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Document storeRelational DBMSKey-value store
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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Websitealasql.orgdrill.apache.orgcouchdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docsdocs.couchdb.org/­en/­stableetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian Aker
Initial release2014201220052008
Current release1.20.3, January 20233.3.3, December 20237.2.4, September 20123.4, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoGNU GPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptErlangC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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 indexesnonoyes infovia viewsyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantnoyes infowith proprietary extensionsno
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBCgRPC
JSON over HTTP
Supported programming languagesJavaScriptC++C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptnono
Triggersyesnoyesno infohooks for callbacks inside the server can be used.yes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlnoDepending on the underlying data sourceAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
AlaSQLApache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Drizzleetcd
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