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DBMS > CouchDB vs. Google Cloud Bigtable vs. QuestDB vs. Rockset

System Properties Comparison CouchDB vs. Google Cloud Bigtable vs. QuestDB vs. Rockset

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Google'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 dataA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeKey-value store
Wide column store
Time Series DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitecouchdb.apache.orgcloud.google.com/­bigtablequestdb.iorockset.com
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docsquestdb.io/­docsdocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleQuestDB Technology IncRockset
Initial release2005201520142019
Current release3.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava (Zero-GC), C++, RustC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
hosted
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or datenonoyesdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyes infovia viewsnonoall fields are automatically indexed
SQL infoSupport of SQLnonoSQL with time-series extensionsRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning (by timestamps)Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleAtomic single-row operationsACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud BigtableQuestDBRockset
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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