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DBMS > AgensGraph vs. Apache Kylin vs. Coveo vs. LeanXcale

System Properties Comparison AgensGraph vs. Apache Kylin vs. Coveo vs. LeanXcale

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Kylin  Xexclude from comparisonCoveo  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSearch engineKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitebitnine.net/­agensgraphkylin.apache.orgwww.coveo.comwww.leanxcale.com
Technical documentationbitnine.net/­documentationkylin.apache.org/­docsdocs.coveo.com
DeveloperBitnine Global Inc.Apache Software Foundation, originally contributed from eBay IncCoveoLeanXcale
Initial release2016201520122015
Current release2.1, December 20183.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Linuxhosted
Data schemedepending on used data modelyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)noyes infothrough Apache Derby
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
JavaScript
Python
C#
Java
JavaScript
Python
C
Java
Scala
Server-side scripts infoStored proceduresyesno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardgranular access controls, API key management, content filters

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More resources
AgensGraphApache KylinCoveoLeanXcale
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