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DBMS > AlaSQL vs. Apache IoTDB vs. Drizzle vs. ObjectBox vs. SWC-DB

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Drizzle vs. ObjectBox vs. SWC-DB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonObjectBox  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 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 FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Extremely fast embedded database for small devices, IoT and MobileA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSObject oriented DBMSWide column store
Secondary database modelsTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitealasql.orgiotdb.apache.orgobjectbox.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.objectbox.io
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDrizzle project, originally started by Brian AkerObjectBox LimitedAlex Kashirin
Initial release20142018200820172020
Current release1.1.0, April 20237.2.4, September 20120.5, April 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache License 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++C and C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Android
iOS
Linux
macOS
Windows
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJavaScript APIJDBC
Native API
JDBCProprietary native APIProprietary protocol
Thrift
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Server-side scripts infoStored proceduresnoyesnonono
Triggersyesyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlnoyesPluggable authentication mechanisms infoe.g. LDAP, HTTPyes
More information provided by the system vendor
AlaSQLApache IoTDBDrizzleObjectBoxSWC-DB infoSuper Wide Column Database
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