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DBMS > Cachelot.io vs. Databricks vs. Ehcache vs. SWC-DB

System Properties Comparison Cachelot.io vs. Databricks vs. Ehcache vs. SWC-DB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionIn-memory caching systemThe 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 DBMS
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
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
Websitecachelot.iowww.databricks.comwww.ehcache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comwww.ehcache.org/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AGAlex Kashirin
Initial release2015201320092020
Current release3.10.0, March 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
hostedAll OS with a Java VMLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or datenoyes
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.noyesnono
Secondary indexesnoyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language
APIs and other access methodsMemcached protocolJDBC
ODBC
RESTful HTTP API
JCacheProprietary protocol
Thrift
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
JavaC++
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnono
More information provided by the system vendor
Cachelot.ioDatabricksEhcacheSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Cachelot.ioDatabricksEhcacheSWC-DB infoSuper Wide Column Database
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