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DBMS > AgensGraph vs. Apache Kylin vs. Databricks

System Properties Comparison AgensGraph vs. Apache Kylin vs. Databricks

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Kylin  Xexclude from comparisonDatabricks  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 stackThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitebitnine.net/­agensgraphkylin.apache.orgwww.databricks.com
Technical documentationbitnine.net/­documentationkylin.apache.org/­docsdocs.databricks.com
DeveloperBitnine Global Inc.Apache Software Foundation, originally contributed from eBay IncDatabricks
Initial release201620152013
Current release2.1, December 20183.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Linuxhosted
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)with Databricks SQL
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritance
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphApache KylinDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphApache KylinDatabricks
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