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DBMS > Amazon CloudSearch vs. Geode vs. HugeGraph

System Properties Comparison Amazon CloudSearch vs. Geode vs. HugeGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeode  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA fast-speed and highly-scalable Graph DBMS
Primary database modelSearch engineKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#133  Overall
#12  Search engines
Score2.38
Rank#123  Overall
#22  Key-value stores
Score0.14
Rank#340  Overall
#31  Graph DBMS
Websiteaws.amazon.com/­cloudsearchgeode.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchgeode.apache.org/­docshugegraph.apache.org/­docs
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Baidu
Initial release201220022018
Current release1.1, February 20170.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Unix
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyes infoalso supports composite index and range index
SQL infoSupport of SQLnoSQL-like query language (OQL)no
APIs and other access methodsHTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobs
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights per client and object definableUsers, roles and permissions

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More resources
Amazon CloudSearchGeodeHugeGraph
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