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DBMS > Ignite vs. Memcached vs. NebulaGraph vs. Spark SQL

System Properties Comparison Ignite vs. Memcached vs. NebulaGraph vs. Spark SQL

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMemcached  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSpark SQL  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.In-memory key-value store, originally intended for cachingA distributed, linear scalable, high perfomant Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Relational DBMS
Key-value storeGraph DBMSRelational 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
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteignite.apache.orgwww.memcached.orggithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
spark.apache.org/­sql
Technical documentationapacheignite.readme.io/­docsgithub.com/­memcached/­memcached/­wikidocs.nebula-graph.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalVesoft Inc.Apache Software Foundation
Initial release2015200320192014
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 Version 2.0 + Common Clause 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetCC++Scala
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeStrong typed schemayes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnono
Secondary indexesyesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.no
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallityCausal Clustering using Raft protocolnone
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 Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocolRole-based access controlno
More information provided by the system vendor
IgniteMemcachedNebulaGraphSpark SQL
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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IgniteMemcachedNebulaGraphSpark SQL
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