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DBMS > Ignite vs. SiteWhere vs. Splice Machine vs. Tibero

System Properties Comparison Ignite vs. SiteWhere vs. Splice Machine vs. Tibero

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.M2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteignite.apache.orggithub.com/­sitewhere/­sitewheresplicemachine.comus.tmaxsoft.com/­products/­tibero
Technical documentationapacheignite.readme.io/­docssitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-workstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationSiteWhereSplice MachineTmaxSoft
Initial release2015201020142003
Current releaseApache Ignite 2.63.1, March 20216, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJavaJavaC and Assembler
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoJavaPersistent Stored Procedure (PSM)
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno infoplanned for next version
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
IgniteSiteWhereSplice MachineTibero
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