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DBMS > Amazon CloudSearch vs. Apache Phoenix vs. Citus vs. Dgraph vs. Memgraph

System Properties Comparison Amazon CloudSearch vs. Apache Phoenix vs. Citus vs. Dgraph vs. Memgraph

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCitus  Xexclude from comparisonDgraph  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed and scalable native Graph DBMSA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelSearch engineRelational DBMSRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#106  Overall
#9  Search engines
Score3.47
Rank#93  Overall
#47  Relational DBMS
Score1.27
Rank#149  Overall
#73  Relational DBMS
Score1.62
Rank#135  Overall
#10  Graph DBMS
Score0.10
Rank#303  Overall
#28  Graph DBMS
Websiteaws.amazon.com/­cloudsearchphoenix.apache.orgwww.citusdata.comdgraph.iomemgraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchphoenix.apache.orgdocs.citusdata.comdgraph.io/­docsdocs.memgraph.com
DeveloperAmazonApache Software FoundationDgraph Labs, Inc.Memgraph Ltd
Initial release20122014201020162017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercial infoFree license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCGoC and C++
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyesyes infostandard, with numerous extensionsnono
APIs and other access methodsHTTP APIJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Bolt protocol
Cypher query language
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingyesSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSynchronous replication via RaftMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno infoPlanned for future releasesUsers, roles and permissions
More information provided by the system vendor
Amazon CloudSearchApache PhoenixCitusDgraphMemgraph
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more

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More resources
Amazon CloudSearchApache PhoenixCitusDgraphMemgraph
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