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DBMS > Ignite vs. mSQL vs. PouchDB vs. Riak TS

System Properties Comparison Ignite vs. mSQL vs. PouchDB vs. Riak TS

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPouchDB  Xexclude from comparisonRiak TS  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.mSQL (Mini SQL) is a simple and lightweight RDBMSJavaScript DBMS with an API inspired by CouchDBRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeTime Series 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
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteignite.apache.orghughestech.com.au/­products/­msqlpouchdb.com
Technical documentationapacheignite.readme.io/­docspouchdb.com/­guideswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software FoundationHughes TechnologiesApache Software FoundationOpen Source, formerly Basho Technologies
Initial release2015199420122015
Current releaseApache Ignite 2.64.4, October 20217.1.1, June 20193.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree licenses can be providedOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCJavaScriptErlang
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesyesyes infovia viewsrestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes, limited
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScriptC 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)noView functions in JavaScriptErlang
Triggersyes (cache interceptors and events)noyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonono

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More resources
IgnitemSQL infoMini SQLPouchDBRiak TS
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