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DBMS > Cachelot.io vs. Databricks vs. Ehcache vs. Yanza

System Properties Comparison Cachelot.io vs. Databricks vs. Ehcache vs. Yanza

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 optionsTime Series DBMS for IoT Applications
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value storeTime 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
Websitecachelot.iowww.databricks.comwww.ehcache.orgyanza.com
Technical documentationdocs.databricks.comwww.ehcache.org/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AGYanza
Initial release2015201320092015
Current release3.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono 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 languageC++Java
Server operating systemsFreeBSD
Linux
OS X
hostedAll OS with a Java VMWindows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesnoyesnono
SQL infoSupport of SQLnowith Databricks SQLnono
APIs and other access methodsMemcached protocolJDBC
ODBC
RESTful HTTP API
JCacheHTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnoyes infoCache Event Listenersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoby using Terracotta Servernone
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourceno
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.nonoyes
User concepts infoAccess controlnonono
More information provided by the system vendor
Cachelot.ioDatabricksEhcacheYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Cachelot.ioDatabricksEhcacheYanza
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