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DBMS > Ehcache vs. InterSystems IRIS vs. NSDb vs. Sadas Engine vs. Splice Machine

System Properties Comparison Ehcache vs. InterSystems IRIS vs. NSDb vs. Sadas Engine vs. Splice Machine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ehcache.orgwww.intersystems.com/­products/­intersystems-irisnsdb.iowww.sadasengine.comsplicemachine.com
Technical documentationwww.ehcache.org/­documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsnsdb.io/­Architecturewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperTerracotta Inc, owned by Software AGInterSystemsSADAS s.r.l.Splice Machine
Initial release20092018201720062014
Current release3.10.0, March 20222023.3, June 20238.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license available
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 languageJavaJava, ScalaC++Java
Server operating systemsAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.noyesnono
Secondary indexesnoyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyesyes
APIs and other access methodsJCacheJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava.Net
C++
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnonoyes infoJava
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EhcacheInterSystems IRISNSDbSadas EngineSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
EhcacheInterSystems IRISNSDbSadas EngineSplice Machine
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