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DBMS > AlaSQL vs. Apache IoTDB vs. Faircom DB vs. Percona Server for MongoDB

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Faircom DB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Websitealasql.orgiotdb.apache.orgwww.faircom.com/­products/­faircom-dbwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationFairCom CorporationPercona
Initial release2014201819792015
Current release1.1.0, April 2023V12, November 20203.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaANSI C, C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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 indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsJavaScript APIJDBC
Native API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
proprietary protocol using JSON
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++JavaScript
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)File partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenotunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnoyesFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users and roles

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More resources
AlaSQLApache IoTDBFaircom DB infoformerly c-treeACEPercona Server for MongoDB
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