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DBMS > Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. InfinityDB vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Google Cloud Firestore vs. InfinityDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInfinityDB  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAnalytic DBMS for real-time computations and queriesCloud 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 Java embedded Key-Value Store which extends the Java Map interfaceOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iofirebase.google.com/­products/­firestoreboilerbay.comyaacomo.com
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­firestoreboilerbay.com/­infinitydb/­manual
DeveloperAtos Convergence CreatorsBigObject, Inc.GoogleBoiler Bay Inc.Q2WEB GmbH
Initial release20162015201720022009
Current release17034.0
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAll OS with a Java VMAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Server-side scripts infoStored proceduresnoLuayes, Firebase Rules & Cloud Functionsno
Triggersyesnoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyesACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigObjectGoogle Cloud FirestoreInfinityDBYaacomo
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