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DBMS > Databricks vs. Ehcache vs. SWC-DB vs. Yanza

System Properties Comparison Databricks vs. Ehcache vs. SWC-DB vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.A widely adopted Java cache with tiered storage optionsA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Key-value storeWide column storeTime Series DBMS
Secondary database modelsTime Series 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.databricks.comwww.ehcache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationdocs.databricks.comwww.ehcache.org/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AGAlex KashirinYanza
Initial release2013200920202015
Current release3.10.0, March 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinuxWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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.yesnonono
Secondary indexesyesnono
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheProprietary protocol
Thrift
HTTP API
Supported programming languagesPython
R
Scala
JavaC++any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonono
Triggersyes infoCache Event Listenersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksEhcacheSWC-DB infoSuper Wide Column DatabaseYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEhcacheSWC-DB infoSuper Wide Column DatabaseYanza
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