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DBMS > Google Cloud Datastore vs. Graphite vs. InfinityDB vs. RDF4J vs. SwayDB

System Properties Comparison Google Cloud Datastore vs. Graphite vs. InfinityDB vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonInfinityDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Java embedded Key-Value Store which extends the Java Map interfaceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeTime Series DBMSKey-value storeRDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webboilerbay.comrdf4j.orgswaydb.simer.au
Technical documentationcloud.google.com/­datastore/­docsgraphite.readthedocs.ioboilerbay.com/­infinitydb/­manualrdf4j.org/­documentation
DeveloperGoogleChris DavisBoiler Bay Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20082006200220042018
Current release4.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaJavaScala
Server operating systemshostedLinux
Unix
All OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes, details hereNumeric data onlyyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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
Secondary indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLSQL-like query language (GQL)nononono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
JavaJava
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresusing Google App Enginenonoyesno
TriggersCallbacks using the Google Apps Enginenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenonenonenone
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 infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nononono

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More resources
Google Cloud DatastoreGraphiteInfinityDBRDF4J infoformerly known as SesameSwayDB
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