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DBMS > Ehcache vs. Ignite vs. SiriDB vs. Teradata Aster vs. XTDB

System Properties Comparison Ehcache vs. Ignite vs. SiriDB vs. Teradata Aster vs. XTDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIgnite  Xexclude from comparisonSiriDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open Source Time Series DBMSPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.ehcache.orgignite.apache.orgsiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.ehcache.org/­documentationapacheignite.readme.io/­docsdocs.siridb.comwww.xtdb.com/­docs
DeveloperTerracotta Inc, owned by Software AGApache Software FoundationCesbitTeradataJuxt Ltd.
Initial release20092015201720052019
Current release3.10.0, March 2022Apache Ignite 2.61.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetCClojure
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
LinuxLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayesyes, extensible-data-notation format
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.noyesnoyes infoin Aster File Storeno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesJavaC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noR packagesno
Triggersyes infoCache Event Listenersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes (replicated cache)yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationssimple rights management via user accountsfine grained access rights according to SQL-standard

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More resources
EhcacheIgniteSiriDBTeradata AsterXTDB infoformerly named Crux
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