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DBMS > Alibaba Cloud PolarDB vs. Apache IoTDB vs. InfinityDB vs. MonetDB

System Properties Comparison Alibaba Cloud PolarDB vs. Apache IoTDB vs. InfinityDB vs. MonetDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA Java embedded Key-Value Store which extends the Java Map interfaceA relational database management system that stores data in columns
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitewww.alibabacloud.com/­product/­polardbiotdb.apache.orgboilerbay.comwww.monetdb.org
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlboilerbay.com/­infinitydb/­manualwww.monetdb.org/­Documentation
DeveloperAlibabaApache Software FoundationBoiler Bay Inc.MonetDB BV
Initial release201820022004
Current release1.1.0, April 20234.0Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedAll OS with a Java VM (>= 1.8)All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
JDBC
Native API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
JavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesnoyes, in SQL, C, R
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding via remote tables
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 replicasnonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud PolarDBApache IoTDBInfinityDBMonetDB
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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Alibaba Cloud PolarDBApache IoTDBInfinityDBMonetDB
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