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DBMS > AlaSQL vs. Apache IoTDB vs. Drizzle vs. FoundationDB vs. H2

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Drizzle vs. FoundationDB vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  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DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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.Ordered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial 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
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Websitealasql.orgiotdb.apache.orggithub.com/­apple/­foundationdbwww.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbwww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDrizzle project, originally started by Brian AkerFoundationDBThomas Mueller
Initial release20142018200820132005
Current release1.1.0, April 20237.2.4, September 20126.2.28, November 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeyesyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenoyesyesno infosome layers support typingyes
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.nonono
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 extensionssupported in specific SQL layer onlyyes
APIs and other access methodsJavaScript APIJDBC
Native API
JDBCJDBC
ODBC
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Server-side scripts infoStored proceduresnoyesnoin SQL-layer onlyJava Stored Procedures and User-Defined Functions
Triggersyesyesno infohooks for callbacks inside the server can be used.noyes
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
yesWith clustering: 2 database servers on different computers operate on identical copies of a database
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
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesyes
User concepts infoAccess controlnoyesPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standard

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More resources
AlaSQLApache IoTDBDrizzleFoundationDBH2
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