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DBMS > IBM Cloudant vs. InterSystems Caché vs. QuestDB vs. SiriDB vs. Sphinx

System Properties Comparison IBM Cloudant vs. InterSystems Caché vs. QuestDB vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuestDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatabase as a Service offering based on Apache CouchDBA multi-model DBMS and application serverA high performance open source SQL database for time series dataOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMSSearch engine
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.ibm.com/­products/­cloudantwww.intersystems.com/­products/­cachequestdb.iosiridb.comsphinxsearch.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.intersystems.comquestdb.io/­docsdocs.siridb.comsphinxsearch.com/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014InterSystemsQuestDB Technology IncCesbitSphinx Technologies Inc.
Initial release20101997201420172001
Current release2018.1.4, May 20203.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava (Zero-GC), C++, RustCC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freedepending on used data modelyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoNumeric datano
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.noyesnono
Secondary indexesyesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL with time-series extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP APIProprietary protocol
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesnonono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)ShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with eventual consistencyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDACID for single-table writesnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and rolessimple rights management via user accountsno
More information provided by the system vendor
IBM CloudantInterSystems CachéQuestDBSiriDBSphinx
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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