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DBMS > Atos Standard Common Repository vs. BoltDB vs. Google BigQuery vs. Heroic

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Google BigQuery vs. Heroic

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embedded key-value store for Go.Large scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#34  Key-value stores
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltcloud.google.com/­bigquerygithub.com/­spotify/­heroic
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroic
DeveloperAtos Convergence CreatorsGoogleSpotify
Initial release2016201320102014
Current release1703
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnonono
Secondary indexesyesnonoyes infovia Elasticsearch
SQL infoSupport of SQLnonoyesno
APIs and other access methodsLDAPRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages with LDAP bindingsGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions infoin JavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesno infoSince BigQuery is designed for querying datano
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.yesnonono
User concepts infoAccess controlLDAP bind authenticationnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Atos Standard Common RepositoryBoltDBGoogle BigQueryHeroic
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