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DBMS > Apache Phoenix vs. GridDB vs. Memcached vs. Memgraph

System Properties Comparison Apache Phoenix vs. GridDB vs. Memcached vs. Memgraph

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGridDB  Xexclude from comparisonMemcached  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable in-memory time series database optimized for IoT and Big DataIn-memory key-value store, originally intended for cachingAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSTime Series DBMSKey-value storeGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitephoenix.apache.orggriddb.netwww.memcached.orgmemgraph.com
Technical documentationphoenix.apache.orgdocs.griddb.netgithub.com/­memcached/­memcached/­wikimemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software FoundationToshiba CorporationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMemgraph Ltd
Initial release2014201320032017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.1, August 20221.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSD licenseOpen Source infoBSL 1.1; commercial license for enterprise edition available
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 languageJavaC++CC and C++
Server operating systemsLinux
Unix
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocolBolt protocol
Cypher query language
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes 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.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseyes infousing SASL (Simple Authentication and Security Layer) protocolUsers, roles and permissions
More information provided by the system vendor
Apache PhoenixGridDBMemcachedMemgraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PhoenixGridDBMemcachedMemgraph
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