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DBMS > Atos Standard Common Repository vs. etcd vs. Google Cloud Bigtable vs. QuestDB

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Google Cloud Bigtable vs. QuestDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQuestDB  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 networksA distributed reliable key-value storeGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Key-value storeWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.19
Rank#46  Overall
#5  Key-value stores
Score3.64
Rank#91  Overall
#8  Wide column stores
Score0.71
Rank#206  Overall
#14  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­bigtablequestdb.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­bigtable/­docsquestdb.io/­docs/­introduction
DeveloperAtos Convergence CreatorsGoogleQuestDB Limited
Initial release201620152014
Current release17033.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen 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 systemsLinuxFreeBSD
Linux
Windows infoexperimental
hostedLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateoptionalnonoyes
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 indexesyesnonono
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsLDAPgRPC
JSON over HTTP
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononono
Triggersyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Internal replication in Colossus, and regional replication between two clusters in different zonesConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoAtomic single-row operationsACID for single-table writes
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.yesnonoyes infothrough memory mapped files
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Atos Standard Common RepositoryetcdGoogle Cloud BigtableQuestDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

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4 October 2021

Join Hacktoberfest 2021 and contribute to QuestDB!
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QuestDB 6.0.5 September release, geospatial support
13 September 2021

Launch a QuestDB droplet in 1-click via the DigitalOcean marketplace
24 August 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Atos Standard Common RepositoryetcdGoogle Cloud BigtableQuestDB
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