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DBMS > Ignite vs. Linter vs. NSDb vs. SiteWhere vs. VictoriaMetrics

System Properties Comparison Ignite vs. Linter vs. NSDb vs. SiteWhere vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonLinter  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonVictoriaMetrics  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, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesM2M integration platform for persisting/querying time series dataA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteignite.apache.orglinter.runsdb.iogithub.com/­sitewhere/­sitewherevictoriametrics.com
Technical documentationapacheignite.readme.io/­docsnsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundationrelex.ruSiteWhereVictoriaMetrics
Initial release20151990201720102018
Current releaseApache Ignite 2.6v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC and C++Java, ScalaJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.yesnononono
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query languagenono
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)
gRPC
HTTP REST
WebSocket
HTTP RESTGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
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/SQLnono
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationselectable replication factor infobased on HBaseSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
IgniteLinterNSDbSiteWhereVictoriaMetrics
Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, PR Newswire

Apache Ignite: An Overview
6 September 2023, Open Source For You

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS | Amazon Web Services
14 May 2016, AWS Blog

Fire up big data processing with Apache Ignite
27 October 2016, InfoWorld

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SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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OpenTelemetry Is Too Complicated, VictoriaMetrics Says
1 April 2024, Datanami

KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus
20 March 2024, The New Stack

How VictoriaMetrics' open source approach led to mass industry adoption
3 May 2024, Tech.eu

Green coding - VictoriaMetrics: The efficiency vs complexity trade-off
15 May 2024, ComputerWeekly.com

VictoriaMetrics Machine Learning takes monitoring to the next level
19 March 2024, businesswire.com

provided by Google News



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