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DBMS > AgensGraph vs. AlaSQL vs. Amazon CloudSearch vs. GridGain vs. HugeGraph

System Properties Comparison AgensGraph vs. AlaSQL vs. Amazon CloudSearch vs. GridGain vs. HugeGraph

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlaSQL  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLJavaScript DBMS libraryA hosted search engine service by Amazon with the data stored in Amazons cloudGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Search engineKey-value store
Relational DBMS
Graph 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
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitebitnine.net/­agensgraphalasql.orgaws.amazon.com/­cloudsearchwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationbitnine.net/­documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­cloudsearchwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docs
DeveloperBitnine Global Inc.Andrey Gershun & Mathias R. WulffAmazonGridGain Systems, Inc.Baidu
Initial release20162014201220072018
Current release2.1, December 2018GridGain 8.5.10.9
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT-LicensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaScriptJava, C++, .NetJava
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesyesnoyes infoall search fields are automatically indexedyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesClose to SQL99, but no user access control, stored procedures and host language bindings.noANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCypher Query Language
JDBC
JavaScript APIHTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
Java
JavaScript
Python
JavaScriptC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresyesnonoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobs
Triggersnoyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneyes 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 nodesSource-replica replicationnoneyes infomanaged transparently by AWSyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)via hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storagenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoauthentication via encrypted signaturesSecurity Hooks for custom implementationsUsers, roles and permissions

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More resources
AgensGraphAlaSQLAmazon CloudSearchGridGainHugeGraph
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