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DBMS > Ignite vs. Memcached vs. Spark SQL vs. Tigris vs. Yanza

System Properties Comparison Ignite vs. Memcached vs. Spark SQL vs. Tigris vs. Yanza

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigris  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.In-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureTime Series DBMS for IoT Applications
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Time Series 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
Score19.42
Rank#32  Overall
#4  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteignite.apache.orgwww.memcached.orgspark.apache.org/­sqlwww.tigrisdata.comyanza.com
Technical documentationapacheignite.readme.io/­docsgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tigrisdata.com/­docs
DeveloperApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationTigris Data, Inc.Yanza
Initial release20152003201420222015
Current releaseApache Ignite 2.61.6.25, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetCScala
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesnonoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statementsnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolJDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononono
Triggersyes (cache interceptors and events)nononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallitynoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes, using FoundationDByes
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 implementationsyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users and rolesno

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More resources
IgniteMemcachedSpark SQLTigrisYanza
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