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DBMS > DataFS vs. Ehcache vs. TimescaleDB vs. Yaacomo

System Properties Comparison DataFS vs. Ehcache vs. TimescaleDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEhcache  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely adopted Java cache with tiered storage optionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelObject oriented DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitenewdatabase.comwww.ehcache.orgwww.timescale.comyaacomo.com
Technical documentationdev.mobiland.com/­Overview.xspwww.ehcache.org/­documentationdocs.timescale.com
DeveloperMobiland AGTerracotta Inc, owned by Software AGTimescaleQ2WEB GmbH
Initial release2018200920172009
Current release1.1.263, October 20223.10.0, March 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsWindowsAll OS with a Java VMLinux
OS X
Windows
Android
Linux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno, except callback-events from server when changes happenedyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoby using Terracotta Serveryes, across time and space (hash partitioning) attributeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID
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.noyesnoyes
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DataFSEhcacheTimescaleDBYaacomo
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