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DBMS > Databricks vs. Interbase vs. Kyligence Enterprise vs. LeanXcale

System Properties Comparison Databricks vs. Interbase vs. Kyligence Enterprise vs. LeanXcale

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLeanXcale  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.Light-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitewww.databricks.comwww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisewww.leanxcale.com
Technical documentationdocs.databricks.comdocs.embarcadero.com/­products/­interbase
DeveloperDatabricksEmbarcaderoKyligence, Inc.LeanXcale
Initial release2013198420162015
Current releaseInterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.yesno infoexport as XML data possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesANSI SQL for queries (using Apache Calcite)yes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoInterbase procedure and trigger language
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksInterbaseKyligence EnterpriseLeanXcale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksInterbaseKyligence EnterpriseLeanXcale
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