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DBMS > AgensGraph vs. Microsoft Azure Table Storage vs. RRDtool vs. SQLite

System Properties Comparison AgensGraph vs. Microsoft Azure Table Storage vs. RRDtool vs. SQLite

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRRDtool  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsIndustry 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.Widely used embeddable, in-process RDBMS
Primary database modelGraph DBMS
Relational DBMS
Wide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitebitnine.net/­agensgraphazure.microsoft.com/­en-us/­services/­storage/­tablesoss.oetiker.ch/­rrdtoolwww.sqlite.org
Technical documentationbitnine.net/­documentationoss.oetiker.ch/­rrdtool/­docwww.sqlite.org/­docs.html
DeveloperBitnine Global Inc.MicrosoftTobias OetikerDwayne Richard Hipp
Initial release2016201219992000
Current release2.1, December 20181.8.0, 20223.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL V2 and FLOSSOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC infoImplementations in Java (e.g. RRD4J) and C# availableC
Server operating systemsLinux
OS X
Windows
hostedHP-UX
Linux
server-less
Data schemedepending on used data modelschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infonot rigid because of 'dynamic typing' concept.
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonoyes infoSQL-92 is not fully supported
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIin-process shared library
Pipes
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes infovia file-system locks
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesnono

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