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DBMS > Apache Phoenix vs. JaguarDB vs. MarkLogic vs. RRDtool

System Properties Comparison Apache Phoenix vs. JaguarDB vs. MarkLogic vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonJaguarDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasePerformant, highly scalable DBMS for AI and IoT applicationsOperational and transactional Enterprise NoSQL databaseIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSKey-value store
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitephoenix.apache.orgwww.jaguardb.comwww.progress.com/­marklogicoss.oetiker.ch/­rrdtool
Technical documentationphoenix.apache.orgwww.jaguardb.com/­support.htmlwww.progress.com/­marklogic/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software FoundationDataJaguar, Inc.MarkLogic Corp.Tobias Oetiker
Initial release2014201520011999
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 202311.0, December 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercial inforestricted free version is availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
HP-UX
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL92no
APIs and other access methodsJDBCJDBC
ODBC
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
in-process shared library
Pipes
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyesnone
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 ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsRole-based access control at the document and subdocument levelsno

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More resources
Apache PhoenixJaguarDBMarkLogicRRDtool
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