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DBMS > Ehcache vs. LeanXcale vs. TerminusDB

System Properties Comparison Ehcache vs. LeanXcale vs. TerminusDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLeanXcale  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value storeKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitewww.ehcache.orgwww.leanxcale.comterminusdb.com
Technical documentationwww.ehcache.org/­documentationterminusdb.github.io/­terminusdb/­#
DeveloperTerracotta Inc, owned by Software AGLeanXcaleDataChemist Ltd.
Initial release200920152018
Current release3.10.0, March 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemsAll OS with a Java VMLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesno
SQL infoSupport of SQLnoyes infothrough Apache DerbySQL-like query language (WOQL)
APIs and other access methodsJCacheJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaC
Java
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyes
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoRole-based access control

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More resources
EhcacheLeanXcaleTerminusDB infoformer name was DataChemist
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