DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAnalytic DBMS for real-time computations and queriesA 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 modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.19
Rank#329  Overall
#146  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
Websitebangdb.combigobject.iowww.ehcache.orgfirebase.google.com/­products/­firestorejanusgraph.org
Technical documentationdocs.bangdb.comdocs.bigobject.iowww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.org
DeveloperSachin Sinha, BangDBBigObject, Inc.Terracotta Inc, owned by Software AGGoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release20122015200920172017
Current releaseBangDB 2.0, October 20213.10.0, March 20220.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree community edition availableOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaJava
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMhostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Java
Python
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoLuanoyes, Firebase Rules & Cloud Functionsyes
Triggersyes, Notifications (with Streaming only)noyes infoCache Event Listenersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoby using Terracotta ServerShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyes 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 systemTunable consistency, set CAP knob accordinglynoneTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes 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.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)nonoAccess 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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BangdbBigObjectEhcacheGoogle Cloud FirestoreJanusGraph infosuccessor of Titan
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Scaling Australia's Most Popular Online News Sites with Ehcache
6 December 2010, InfoQ.com

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

DZone Coding Java JBoss 5 to 7 in 11 steps
9 January 2014, DZone

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google launches Firebase Genkit, a new open source framework for building AI-powered apps
14 May 2024, TechCrunch

Firestore: NoSQL document database
9 October 2017, Google

Firestore | Firebase
3 October 2017, firebase.google.com

provided by Google News

Database Deep Dives: JanusGraph
8 August 2019, IBM

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

From graph db to graph embedding. In 7 simple steps. | by Andy Greatorex
30 July 2020, Towards Data Science

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Compose for JanusGraph arrives on Bluemix
15 September 2017, IBM

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here