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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Apache IoTDB vs. BigObject vs. MonetDB vs. Sphinx

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Apache IoTDB vs. BigObject vs. MonetDB vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBigObject  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAnalytic DBMS for real-time computations and queriesA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#220  Overall
#102  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqliotdb.apache.orgbigobject.iowww.monetdb.orgsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bigobject.iowww.monetdb.org/­Documentationsphinxsearch.com/­docs
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupApache Software FoundationBigObject, Inc.MonetDB BVSphinx Technologies Inc.
Initial release20162018201520042001
Current release1.1.0, April 2023Dec2023 (11.49), December 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaCC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
JDBC
Native API
fluentd
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocol
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Go
Java
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesLuayes, in SQL, C, Rno
Triggersyesyesnoyesno
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 tablesSharding infoPartitioning is done manually, search queries against distributed index is supported
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 statusnone
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
none
Foreign keys infoReferential integrityyesnoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBApache IoTDBBigObjectMonetDBSphinx
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