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DBMS > Apache Jena - TDB vs. atoti vs. etcd vs. GigaSpaces vs. Google Cloud Firestore

System Properties Comparison Apache Jena - TDB vs. atoti vs. etcd vs. GigaSpaces vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonatoti  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud 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.
Primary database modelRDF storeObject oriented DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlatoti.ioetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comfirebase.google.com/­products/­firestore
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.atoti.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestore
DeveloperApache Software Foundation infooriginally developed by HP LabsActiveViamGigaspaces TechnologiesGoogle
Initial release200020002017
Current release4.9.0, July 20233.4, August 201915.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoJava, C++, .Net
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
hosted
Data schemeyes infoRDF Schemasschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noSQL-99 for query and DML statementsno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesPythonnoyesyes, Firebase Rules & Cloud Functions
Triggersyes infovia event handleryes, watching key changesyes, event driven architectureyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesnoyes
User concepts infoAccess controlAccess control via Jena SecuritynoRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache Jena - TDBatotietcdGigaSpacesGoogle Cloud Firestore
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