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DBMS > Ehcache vs. EXASOL vs. GeoSpock vs. IRONdb

System Properties Comparison Ehcache vs. EXASOL vs. GeoSpock vs. IRONdb

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted Java cache with tiered storage optionsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Websitewww.ehcache.orgwww.exasol.comgeospock.comwww.circonus.com/solutions/time-series-database/
Technical documentationwww.ehcache.org/­documentationwww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-started
DeveloperTerracotta Inc, owned by Software AGExasolGeoSpockCirconus LLC.
Initial release200920002017
Current release3.10.0, March 20222.0, September 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC and C++
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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 indexesnoyestemporal, categoricalno
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJCache.Net
JDBC
ODBC
WebSocket
JDBCHTTP API
Supported programming languagesJavaJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyes, in Lua
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingAutomatic shardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableno

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EhcacheEXASOLGeoSpockIRONdb
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