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DBMS > Databricks vs. IBM Db2 warehouse vs. XTDB

System Properties Comparison Databricks vs. IBM Db2 warehouse vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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.Cloud-based data warehousing serviceA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument 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
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.databricks.comwww.ibm.com/­products/­db2/­warehousegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comwww.xtdb.com/­docs
DeveloperDatabricksIBMJuxt Ltd.
Initial release201320142019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageClojure
Server operating systemshostedhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, 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.yesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesPL/SQL, SQL PLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBXTDB infoformerly named Crux
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