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DBMS > Databricks vs. Interbase vs. TinkerGraph vs. Tkrzw

System Properties Comparison Databricks vs. Interbase vs. TinkerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInterbase  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.databricks.comwww.embarcadero.com/­products/­interbasetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlindbmx.net/­tkrzw
Technical documentationdocs.databricks.comdocs.embarcadero.com/­products/­interbase
DeveloperDatabricksEmbarcaderoMikio Hirabayashi
Initial release2013198420092020
Current releaseInterBase 2020, December 20190.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 possiblenono
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Groovy
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoInterbase procedure and trigger languagenono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Viewsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono
More information provided by the system vendor
DatabricksInterbaseTinkerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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