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DBMS > Apache Druid vs. Apache Jena - TDB vs. Google Cloud Firestore vs. Lovefield vs. SwayDB

System Properties Comparison Apache Druid vs. Apache Jena - TDB vs. Google Cloud Firestore vs. Lovefield vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLovefield  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCloud 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.Embeddable relational database for web apps written in pure JavaScriptAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
RDF storeDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedruid.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­products/­firestoregoogle.github.io/­lovefieldswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­docs/­firestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation and contributorsApache Software Foundation infooriginally developed by HP LabsGoogleGoogleSimer Plaha
Initial release20122000201720142018
Current release29.0.1, April 20244.9.0, July 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache License, Version 2.0commercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptScala
Server operating systemsLinux
OS X
Unix
All OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyes infoschema-less columns are supportedyes infoRDF Schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingnonoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptJava
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsnono
Triggersnoyes infovia event handleryes, with Cloud FunctionsUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsyesACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono

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More resources
Apache DruidApache Jena - TDBGoogle Cloud FirestoreLovefieldSwayDB
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