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DBMS > Badger vs. Cassandra vs. Google Cloud Firestore vs. HugeGraph vs. Immudb

System Properties Comparison Badger vs. Cassandra vs. Google Cloud Firestore vs. HugeGraph vs. Immudb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCassandra  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonImmudb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Wide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCloud 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 fast-speed and highly-scalable Graph DBMSAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.
Primary database modelKey-value storeWide column storeDocument storeGraph DBMSKey-value store
Secondary database modelsVector DBMS infostarting with release V5Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score98.83
Rank#12  Overall
#1  Wide column stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Websitegithub.com/­dgraph-io/­badgercassandra.apache.orgfirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
github.com/­codenotary/­immudb
immudb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercassandra.apache.org/­doc/­latestfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docsdocs.immudb.io
DeveloperDGraph LabsApache Software Foundation infoApache top level project, originally developped by FacebookGoogleBaiduCodenotary
Initial release20172008201720182020
Current release4.1.3, July 20230.91.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageGoJavaJavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
hostedLinux
macOS
Unix
BSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnorestricted infoonly equality queries, not always the best performing solutionyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)nonoSQL-like syntax
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesGoC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsno
Triggersnoyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions
More information provided by the system vendor
BadgerCassandraGoogle Cloud FirestoreHugeGraphImmudb
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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