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DBMS > Databricks vs. STSdb vs. XTDB

System Properties Comparison Databricks vs. STSdb vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSTSdb  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.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score80.31
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.35
Rank#317  Overall
#45  Key-value stores
Score0.27
Rank#340  Overall
#46  Document stores
Websitewww.databricks.comgithub.com/­STSSoft/­STSdb4github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comwww.xtdb.com/­docs
DeveloperDatabricksSTS Soft SCJuxt Ltd.
Initial release201320112019
Current release4.0.8, September 20151.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoGPLv2, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Clojure
Server operating systemshostedWindowsAll 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 dateyes infoprimitive types and user defined types (classes)yes, 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
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIHTTP REST
JDBC
Supported programming languagesPython
R
Scala
C#
Java
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, 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 Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.no
User concepts infoAccess controlno

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More resources
DatabricksSTSdbXTDB infoformerly named Crux
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