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DBMS > Ignite vs. Microsoft Azure Table Storage vs. searchxml vs. SiteWhere vs. Splice Machine

System Properties Comparison Ignite vs. Microsoft Azure Table Storage vs. searchxml vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonsearchxml  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  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.A Wide Column Store for rapid development using massive semi-structured datasetsDBMS for structured and unstructured content wrapped with an application serverM2M 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 Spark
Primary database modelKey-value store
Relational DBMS
Wide column storeNative XML DBMS
Search engine
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.searchxml.net/­category/­productsgithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationapacheignite.readme.io/­docswww.searchxml.net/­support/­handoutssitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperApache Software FoundationMicrosoftinformationpartners gmbhSiteWhereSplice Machine
Initial release20152012201520102014
Current releaseApache Ignite 2.61.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++JavaJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedWindowsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnononoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoon the application serveryes infoJava
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infosychronisation to multiple collectionsselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingmultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesDomain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
IgniteMicrosoft Azure Table StoragesearchxmlSiteWhereSplice Machine
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