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DBMS > Alibaba Cloud Table Store vs. Apache IoTDB vs. Drizzle vs. Interbase vs. LeanXcale

System Properties Comparison Alibaba Cloud Table Store vs. Apache IoTDB vs. Drizzle vs. Interbase vs. LeanXcale

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonLeanXcale  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.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn 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.Light-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelWide column storeTime Series DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeiotdb.apache.orgwww.embarcadero.com/­products/­interbasewww.leanxcale.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.embarcadero.com/­products/­interbase
DeveloperAlibabaApache Software FoundationDrizzle project, originally started by Brian AkerEmbarcaderoLeanXcale
Initial release20162018200819842015
Current release1.1.0, April 20237.2.4, September 2012InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemshostedAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possible
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsyesyes infothrough Apache Derby
APIs and other access methodsHTTP APIJDBC
Native API
JDBCADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoInterbase procedure and trigger language
Triggersnoyesno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Interbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache IoTDBDrizzleInterbaseLeanXcale
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