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DBMS > Apache Impala vs. Graph Engine vs. MarkLogic vs. RRDtool

System Properties Comparison Apache Impala vs. Graph Engine vs. MarkLogic vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMarkLogic  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOperational 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 DBMSGraph DBMS
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteimpala.apache.orgwww.graphengine.iowww.marklogic.comoss.oetiker.ch/­rrdtool
Technical documentationimpala.apache.org/­impala-docs.htmlwww.graphengine.io/­docs/­manualdocs.marklogic.comoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftMarkLogic Corp.Tobias Oetiker
Initial release2013201020011999
Current release4.1.0, June 202211.0, December 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercial 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 languageC++.NET and CC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux.NETLinux
OS X
Windows
HP-UX
Linux
Data schemeyesyesschema-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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava 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 languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
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 proceduresyes infouser defined functions and integration of map-reduceyesyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID 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 persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levelsno

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More resources
Apache ImpalaGraph Engine infoformer name: TrinityMarkLogicRRDtool
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