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DBMS > Apache Phoenix vs. Bangdb vs. MarkLogic vs. Memgraph

System Properties Comparison Apache Phoenix vs. Bangdb vs. MarkLogic vs. Memgraph

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphOperational and transactional Enterprise NoSQL databaseAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score2.91
Rank#94  Overall
#7  Graph DBMS
Websitephoenix.apache.orgbangdb.comwww.progress.com/­marklogicmemgraph.com
Technical documentationphoenix.apache.orgdocs.bangdb.comwww.progress.com/­marklogic/­documentationmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software FoundationSachin Sinha, BangDBMarkLogic Corp.Memgraph Ltd
Initial release2014201220012017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3commercial inforestricted free version is availableOpen 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

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Implementation languageJavaC, C++C++C and C++
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free infoSchema can be enforcedschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLyesSQL like support with command line toolyes infoSQL92no
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Bolt protocol
Cypher query language
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infovia XQuery or JavaScript
Triggersnoyes, Notifications (with Streaming only)yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes 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.yesyes, run db with in-memory only modeyes, with Range Indexesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)Role-based access control at the document and subdocument levelsUsers, roles and permissions
More information provided by the system vendor
Apache PhoenixBangdbMarkLogicMemgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Apache PhoenixBangdbMarkLogicMemgraph
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