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DBMS > Ehcache vs. HugeGraph vs. Riak KV vs. Spark SQL

System Properties Comparison Ehcache vs. HugeGraph vs. Riak KV vs. Spark SQL

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ehcache.orggithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sql
Technical documentationwww.ehcache.org/­documentationhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperTerracotta Inc, owned by Software AGBaiduOpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release2009201820092014
Current release3.10.0, March 20220.93.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangScala
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexrestrictedno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsJCacheJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesJavaGroovy
Java
Python
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsErlangno
Triggersyes infoCache Event Listenersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serveryes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoUsers, roles and permissionsyes, using Riak Securityno

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More resources
EhcacheHugeGraphRiak KVSpark SQL
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