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DBMS > Alibaba Cloud PolarDB vs. BigObject vs. Datomic vs. HugeGraph vs. Sphinx

System Properties Comparison Alibaba Cloud PolarDB vs. BigObject vs. Datomic vs. HugeGraph vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Analytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­polardbbigobject.iowww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
sphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.bigobject.iodocs.datomic.comhugegraph.apache.org/­docssphinxsearch.com/­docs
DeveloperAlibabaBigObject, Inc.CognitectBaiduSphinx Technologies Inc.
Initial release2015201220182001
Current release1.0.6735, June 20230.93.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infolimited edition freeOpen Source infoApache Version 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

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Implementation languageJava, ClojureJavaC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
macOS
Unix
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.yesnonono
Secondary indexesyesyesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesJava
Python
Clojure
Java
Groovy
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesLuayes infoTransaction Functionsasynchronous Gremlin script jobsno
TriggersyesnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding 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 servicenonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes 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.yesyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers, roles and permissionsno
More information provided by the system vendor
Alibaba Cloud PolarDBBigObjectDatomicHugeGraphSphinx
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 PolarDBBigObjectDatomicHugeGraphSphinx
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