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DBMS > AlaSQL vs. Apache Drill vs. Drizzle vs. etcd vs. Riak TS

System Properties Comparison AlaSQL vs. Apache Drill vs. Drizzle vs. etcd vs. Riak TS

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  Xexclude from comparisonRiak TS  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 StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value storeRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitealasql.orgdrill.apache.orgetcd.io
github.com/­etcd-io/­etcd
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDrizzle project, originally started by Brian AkerOpen Source, formerly Basho Technologies
Initial release2014201220082015
Current release1.20.3, January 20237.2.4, September 20123.4, August 20193.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoApache Version 2.0Open Source
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 languageJavaScriptC++GoErlang
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
Linux
OS X
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnono
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 indexesnonoyesnorestricted
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsnoyes, limited
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
JDBCgRPC
JSON over HTTP
HTTP API
Native Erlang Interface
Supported programming languagesJavaScriptC++C
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsnonoErlang
Triggersyesnono infohooks for callbacks inside the server can be used.yes, watching key changesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 sourceno
User concepts infoAccess controlnoDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
AlaSQLApache DrillDrizzleetcdRiak TS
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