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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonIgnite  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLApache 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 processingTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Relational DBMS
Key-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
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
Websitebitnine.net/­agensgraphignite.apache.orgwww.memcached.orgspark.apache.org/­sqlyanza.com
Technical documentationbitnine.net/­documentationapacheignite.readme.io/­docsgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.Apache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationYanza
Initial release20162015200320142015
Current release2.1, December 2018Apache Ignite 2.61.6.25, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 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 languageCC++, Java, .NetCScala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Windows
Data schemedepending on used data modelyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.noyesnono
Secondary indexesyesyesnonono
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statementsno
APIs and other access methodsCypher Query Language
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolJDBC
ODBC
HTTP API
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)nonono
Triggersnoyes (cache interceptors and events)nonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallitynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
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 persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocolnono

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More resources
AgensGraphIgniteMemcachedSpark SQLYanza
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