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DBMS > Google Cloud Datastore vs. Pinecone vs. RDF4J vs. RRDtool vs. SwayDB

System Properties Comparison Google Cloud Datastore vs. Pinecone vs. RDF4J vs. RRDtool vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonPinecone  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA managed, cloud-native vector databaseRDF4J 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeVector DBMSRDF storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecloud.google.com/­datastorewww.pinecone.iordf4j.orgoss.oetiker.ch/­rrdtoolswaydb.simer.au
Technical documentationcloud.google.com/­datastore/­docsdocs.pinecone.io/­docs/­overviewrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperGooglePinecone Systems, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias OetikerSimer Plaha
Initial release20082019200419992018
Current release1.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSSOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemshostedhostedLinux
OS X
Unix
Windows
HP-UX
Linux
Data schemeschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyes, details hereString, Number, BooleanyesNumeric data onlyno
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like query language (GQL)nononono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful 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 languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonJava
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresusing Google App Engineyesnono
TriggersCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API usednoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonono

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More resources
Google Cloud DatastorePineconeRDF4J infoformerly known as SesameRRDtoolSwayDB
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