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DBMS > EXASOL vs. Google Cloud Firestore vs. IRONdb vs. RDF4J vs. RRDtool

System Properties Comparison EXASOL vs. Google Cloud Firestore vs. IRONdb vs. RDF4J vs. RRDtool

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Industry 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 DBMSDocument storeTime Series DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.exasol.comfirebase.google.com/­products/­firestorewww.circonus.com/solutions/time-series-database/rdf4j.orgoss.oetiker.ch/­rrdtool
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestoredocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperExasolGoogleCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias Oetiker
Initial release20002017201720041999
Current releaseV0.10.20, January 20181.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
HP-UX
Linux
Data schemeyesschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesNumeric 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.nononono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
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 functionsyes, Firebase Rules & Cloud Functionsyes, in Luayesno
Triggersyesyes, with Cloud Functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesnone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nonono

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More resources
EXASOLGoogle Cloud FirestoreIRONdbRDF4J infoformerly known as SesameRRDtool
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