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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCitus  Xexclude from comparisonDgraph  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionA 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 modelRelational DBMSRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.39
Rank#94  Overall
#47  Relational DBMS
Score1.41
Rank#146  Overall
#73  Relational DBMS
Score1.56
Rank#139  Overall
#10  Graph DBMS
Score0.08
Rank#305  Overall
#29  Graph DBMS
Websitephoenix.apache.orgwww.citusdata.comdgraph.iomemgraph.com
Technical documentationphoenix.apache.orgdocs.citusdata.comdgraph.io/­docsdocs.memgraph.com
DeveloperApache Software FoundationDgraph Labs, Inc.Memgraph Ltd
Initial release2014201020162017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 2018
License infoCommercial or Open SourceOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCGoC and C++
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnono
APIs and other access methodsJDBCADO.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 proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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 controlAccess 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
Apache PhoenixCitusDgraphMemgraph
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
Apache PhoenixCitusDgraphMemgraph
Recent citations in the news

The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase™
13 May 2020, GlobeNewswire

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Cloudera adds operational database to cloud service
17 September 2020, ZDNet

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Dgraph Labs Launches Slash GraphQL, Industry's First GraphQL-Native Database Backend-As-A-Service
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2021-2025 Graph Database Market | Global Analysis, Modeling, Risk Factors, Growth Strategies, Drivers, Dynamics, Forecast and more | COVID-19 Impact Analysis
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Graph Database Market , Regional and Global Key Players, Current Size, Forecast and Players Positioning – Memgraph, Cambridge Semantics, Fluree, Blazegraph
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the global graph database market size is projected to grow from USD 1.0 billion in 2019 to USD 2.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 22.2% during 2019–2024
9 October 2019, GlobeNewswire

provided by Google News

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