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DBMS > Ignite vs. Quasardb vs. Riak KV vs. SpatiaLite

System Properties Comparison Ignite vs. Quasardb vs. Riak KV vs. SpatiaLite

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonSpatiaLite  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.Distributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeSpatial extension of SQLite
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSpatial DBMS
Secondary database modelsRelational 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteignite.apache.orgquasar.aiwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationapacheignite.readme.io/­docsdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationquasardbOpenSource, formerly Basho TechnologiesAlessandro Furieri
Initial release2015200920092008
Current releaseApache Ignite 2.63.14.1, January 20243.2.0, December 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++ErlangC++
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
server-less
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.yesnonono
Secondary indexesyesyes infowith tagsrestrictedyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noErlangno
Triggersyes (cache interceptors and events)noyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)with Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailyes, using Riak Securityno

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IgniteQuasardbRiak KVSpatiaLite
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