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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. JanusGraph vs. PlanetScale vs. Postgres-XL

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. JanusGraph vs. PlanetScale vs. Postgres-XL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, distributed, serverless MySQL database platform built on top of VitessBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgjanusgraph.orgplanetscale.comwww.postgres-xl.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designdocs.janusgraph.orgplanetscale.com/­docswww.postgres-xl.org/­documentation
DeveloperAlibabaApache Software Foundation and contributorsLinux Foundation; originally developed as Titan by AureliusPlanetScale
Initial release20162012201720202014 infosince 2012, originally named StormDB
Current release29.0.1, April 20240.6.3, February 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Linux
macOS
Data schemeschema-freeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingnoyes infowith proprietary extensionsyes infodistributed, parallel query execution
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntaxuser defined functions
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID at shard levelACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache DruidJanusGraph infosuccessor of TitanPlanetScalePostgres-XL
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