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DBMS > AlaSQL vs. Apache IoTDB vs. Drizzle vs. IBM Db2 Event Store vs. ObjectBox

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Drizzle vs. IBM Db2 Event Store vs. ObjectBox

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonObjectBox  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.Distributed Event Store optimized for Internet of Things use casesExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSEvent Store
Time Series DBMS
Object oriented DBMS
Secondary database modelsTime 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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitealasql.orgiotdb.apache.orgwww.ibm.com/­products/­db2-event-storeobjectbox.io
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.objectbox.io
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDrizzle project, originally started by Brian AkerIBMObjectBox Limited
Initial release20142018200820172017
Current release1.1.0, April 20237.2.4, September 20122.0
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercial infofree developer edition availableOpen Source infoApache License 2.0
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 and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
macOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeno
APIs and other access methodsJavaScript APIJDBC
Native API
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyesnoyesno
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)ShardingShardingnone
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
Active-active shard replicationonline/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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AlaSQLApache IoTDBDrizzleIBM Db2 Event StoreObjectBox
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