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DBMS > Badger vs. Google Cloud Firestore vs. GridGain vs. HugeGraph vs. TinkerGraph

System Properties Comparison Badger vs. Google Cloud Firestore vs. GridGain vs. HugeGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Cloud 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.GridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­firestorewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docs
DeveloperDGraph LabsGoogleGridGain Systems, Inc.Baidu
Initial release20172017200720182009
Current releaseGridGain 8.5.10.9
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesnono
Secondary indexesnoyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
TinkerPop 3
Supported programming languagesGoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
Groovy
Java
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsno
Triggersnoyes, with Cloud Functionsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes (compute grid and hadoop accelerator)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononoyes infoedges in graphyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsUsers, roles and permissionsno

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More resources
BadgerGoogle Cloud FirestoreGridGainHugeGraphTinkerGraph
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