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DBMS > Blueflood vs. Ignite vs. Linter vs. SiteWhere vs. Solr

System Properties Comparison Blueflood vs. Ignite vs. Linter vs. SiteWhere vs. Solr

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonIgnite  Xexclude from comparisonLinter  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.RDBMS for high security requirementsM2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteblueflood.ioignite.apache.orglinter.rugithub.com/­sitewhere/­sitewheresolr.apache.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiapacheignite.readme.io/­docssitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperRackspaceApache Software Foundationrelex.ruSiteWhereApache Software Foundation
Initial release20132015199020102006
Current releaseApache Ignite 2.69.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC and C++JavaJava
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemepredefined schemeyesyespredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.noyesnonoyes
Secondary indexesnoyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesnoSolr Parallel SQL Interface
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
Triggersnoyes (cache interceptors and events)yesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replicationselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyes

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More resources
BluefloodIgniteLinterSiteWhereSolr
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