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DBMS > Databricks vs. Galaxybase vs. Kyligence Enterprise

System Properties Comparison Databricks vs. Galaxybase vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGalaxybase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionThe 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.Scalable, ACID-compliant native distributed parallel graph platformA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitewww.databricks.comgalaxybase.comkyligence.io/­kyligence-enterprise
Technical documentationdocs.databricks.com
DeveloperDatabricksChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Kyligence, Inc.
Initial release201320172016
Current releaseNov 20, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJava
Server operating systemshostedLinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)Strong typed schemayes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Go
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined procedures and functions
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
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 infoRelationships in graphs
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.noyesno
User concepts infoAccess controlRole-based access control
More information provided by the system vendor
DatabricksGalaxybaseKyligence Enterprise
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGalaxybaseKyligence Enterprise
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