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DBMS > Ignite vs. Linter vs. Neo4j vs. SiteWhere

System Properties Comparison Ignite vs. Linter vs. Neo4j vs. SiteWhere

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonLinter  Xexclude from comparisonNeo4j  Xexclude from comparisonSiteWhere  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.RDBMS for high security requirementsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Relational DBMSGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websiteignite.apache.orglinter.runeo4j.comgithub.com/­sitewhere/­sitewhere
Technical documentationapacheignite.readme.io/­docsneo4j.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundationrelex.ruNeo4j, Inc.SiteWhere
Initial release2015199020072010
Current releaseApache Ignite 2.65.19, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++, Java, .NetC and C++Java, ScalaJava
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free and schema-optionalpredefined scheme
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.yesnono
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQLyes infoUser defined Procedures and Functions
Triggersyes (cache interceptors and events)yesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes using Neo4j FabricSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept
More information provided by the system vendor
IgniteLinterNeo4jSiteWhere
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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