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DBMS > AgensGraph vs. LeanXcale vs. RethinkDB

System Properties Comparison AgensGraph vs. LeanXcale vs. RethinkDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Relational DBMS
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Websitebitnine.net/­agensgraphwww.leanxcale.comrethinkdb.com
Technical documentationbitnine.net/­documentationrethinkdb.com/­docs
DeveloperBitnine Global Inc.LeanXcaleThe Linux Foundation infosince July 2017
Initial release201620152009
Current release2.1, December 20182.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometry
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesyes infothrough Apache Derbyno
APIs and other access methodsCypher Query Language
JDBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
JavaScript
Python
C
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes
TriggersnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousers and table-level permissions

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More resources
AgensGraphLeanXcaleRethinkDB
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