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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Google Cloud Firestore vs. HugeGraph vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Google Cloud Firestore vs. HugeGraph vs. TerarkDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleCloud 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 DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeGraph DBMSKey-value store
Secondary database modelsTime 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
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comfirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
github.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAtos Convergence CreatorsGeoSpockGoogleBaiduByteDance, originally Terark
Initial release2016201720182016
Current release17032.0, September 20190.9
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaC++
Server operating systemsLinuxhostedhostedLinux
macOS
Unix
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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.yesnononono
Secondary indexesyestemporal, categoricalyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nonono
APIs and other access methodsLDAPJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
C++
Java
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsno
Triggersyesnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyesACIDno
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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tableAccess 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 permissionsno

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More resources
Atos Standard Common RepositoryGeoSpockGoogle Cloud FirestoreHugeGraphTerarkDB
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