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DBMS > Ehcache vs. IBM Db2 Event Store vs. IRONdb vs. TerminusDB

System Properties Comparison Ehcache vs. IBM Db2 Event Store vs. IRONdb vs. TerminusDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIRONdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use casesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value storeEvent Store
Time Series DBMS
Time Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.ehcache.orgwww.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/terminusdb.com
Technical documentationwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-startedterminusdb.github.io/­terminusdb/­#
DeveloperTerracotta Inc, owned by Software AGIBMCirconus LLC.DataChemist Ltd.
Initial release2009201720172018
Current release3.10.0, March 20222.0V0.10.20, January 201811.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C and C++Prolog, Rust
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.nononono
Secondary indexesnonono
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (WOQL)
APIs and other access methodsJCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes, in Luayes
Triggersyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingAutomatic, metric affinity per nodeGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerActive-active shard replicationconfigurable replication factor, datacenter awareJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoRole-based access control

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More resources
EhcacheIBM Db2 Event StoreIRONdbTerminusDB infoformer name was DataChemist
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