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DBMS > Databricks vs. Postgres-XL vs. RethinkDB vs. XTDB

System Properties Comparison Databricks vs. Postgres-XL vs. RethinkDB vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRethinkDB  Xexclude from comparisonXTDB infoformerly named Crux  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for the Web with a mechanism to push updated query results to applications in realtime.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.databricks.comwww.postgres-xl.orgrethinkdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comwww.postgres-xl.org/­documentationrethinkdb.com/­docswww.xtdb.com/­docs
DeveloperDatabricksThe Linux Foundation infosince July 2017Juxt Ltd.
Initial release20132014 infosince 2012, originally named StormDB20092019
Current release10 R1, October 20182.4.1, August 20201.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Clojure
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyes, extensible-data-notation format
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.yesyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infodistributed, parallel query executionnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
TriggersyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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-standardyes infousers and table-level permissions
More information provided by the system vendor
DatabricksPostgres-XLRethinkDBXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostgres-XLRethinkDBXTDB infoformerly named Crux
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