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DBMS > AlaSQL vs. Faircom DB vs. Graph Engine vs. Memcached vs. WakandaDB

System Properties Comparison AlaSQL vs. Faircom DB vs. Graph Engine vs. Memcached vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemcached  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineIn-memory key-value store, originally intended for cachingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMS
Key-value store
Key-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.74
Rank#32  Overall
#4  Key-value stores
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitealasql.orgwww.faircom.com/­products/­faircom-dbwww.graphengine.iowww.memcached.orgwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.graphengine.io/­docs/­manualgithub.com/­memcached/­memcached/­wikiwakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffFairCom CorporationMicrosoftDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalWakanda SAS
Initial release20141979201020032012
Current releaseV12, November 20201.6.25, March 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoRestricted, free version availableOpen Source infoMIT LicenseOpen Source infoBSD licenseOpen Source infoAGPLv3, extended commercial license available
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 languageJavaScriptANSI C, C++.NET and CCC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
.NETFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesschema-freeyes
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyesnoyes
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 indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, ANSI SQL with proprietary extensionsnonono
APIs and other access methodsJavaScript APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP APIProprietary protocolRESTful HTTP API
Supported programming languagesJavaScript.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
F#
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesnoyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).none infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagetunable from ACID to Eventually ConsistentnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageYes, tunable from durable to delayed durability to in-memoryoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
AlaSQLFaircom DB infoformerly c-treeACEGraph Engine infoformer name: TrinityMemcachedWakandaDB
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