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DBMS > Ehcache vs. IBM Db2 Event Store vs. Stardog vs. TerarkDB vs. VictoriaMetrics

System Properties Comparison Ehcache vs. IBM Db2 Event Store vs. Stardog vs. TerarkDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonStardog  Xexclude from comparisonTerarkDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use casesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeEvent Store
Time Series DBMS
Graph DBMS
RDF store
Key-value storeTime Series DBMS
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
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.ehcache.orgwww.ibm.com/­products/­db2-event-storewww.stardog.comgithub.com/­bytedance/­terarkdbvictoriametrics.com
Technical documentationwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.stardog.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperTerracotta Inc, owned by Software AGIBMStardog-UnionByteDance, originally TerarkVictoriaMetrics
Initial release20092017201020162018
Current release3.10.0, March 20222.07.3.0, May 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaC++Go
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infoImport/export of XML data possiblenono
Secondary indexesnonoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeYes, compatible with all major SQL variants through dedicated BI/SQL Servernono
APIs and other access methodsJCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
C++ API
Java API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infoCache Event Listenersnoyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerActive-active shard replicationMulti-source replication in HA-ClusternoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency in HA-ClusterEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
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 storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
EhcacheIBM Db2 Event StoreStardogTerarkDBVictoriaMetrics
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