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DBMS > BigObject vs. Brytlyt vs. Ehcache vs. Google Cloud Firestore vs. JanusGraph

System Properties Comparison BigObject vs. Brytlyt vs. Ehcache vs. Google Cloud Firestore vs. JanusGraph

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA widely adopted Java cache with tiered storage optionsCloud 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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitebigobject.iobrytlyt.iowww.ehcache.orgfirebase.google.com/­products/­firestorejanusgraph.org
Technical documentationdocs.bigobject.iodocs.brytlyt.iowww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.org
DeveloperBigObject, Inc.BrytlytTerracotta Inc, owned by Software AGGoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release20152016200920172017
Current release5.0, August 20233.10.0, March 20220.6.3, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJavaJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
All OS with a Java VMhostedLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresLuauser defined functions infoin PL/pgSQLnoyes, Firebase Rules & Cloud Functionsyes
Triggersnoyesyes infoCache Event Listenersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby using Terracotta ServerMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflowyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.User authentification and security via Rexster Graph Server

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More resources
BigObjectBrytlytEhcacheGoogle Cloud FirestoreJanusGraph infosuccessor of Titan
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