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DBMS > Google Cloud Firestore vs. HugeGraph vs. Riak KV vs. Teradata

System Properties Comparison Google Cloud Firestore vs. HugeGraph vs. Riak KV vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionCloud 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 DBMSDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
www.teradata.com
Technical documentationfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperGoogleBaiduOpenSource, formerly Basho TechnologiesTeradata
Initial release2017201820091984
Current release0.93.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemshostedLinux
macOS
Unix
Linux
OS X
hosted
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsErlangyes infoUDFs, stored procedures, table functions in parallel
Triggersyes, with Cloud Functionsnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlAccess 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 permissionsyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreHugeGraphRiak KVTeradata
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