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DBMS > IBM Cloudant vs. LeanXcale vs. PlanetScale vs. Rockset vs. Sphinx

System Properties Comparison IBM Cloudant vs. LeanXcale vs. PlanetScale vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonLeanXcale  Xexclude from comparisonPlanetScale  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable, distributed, serverless MySQL database platform built on top of VitessA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.ibm.com/­products/­cloudantwww.leanxcale.complanetscale.comrockset.comsphinxsearch.com
Technical documentationcloud.ibm.com/­docs/­Cloudantplanetscale.com/­docsdocs.rockset.comsphinxsearch.com/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014LeanXcalePlanetScaleRocksetSphinx Technologies Inc.
Initial release20102015202020192001
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangGoC++C++
Server operating systemshostedDocker
Linux
macOS
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesdynamic typingno
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.nono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infothrough Apache Derbyyes infowith proprietary extensionsRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP RESTProprietary protocol
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infoproprietary syntaxnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic 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
Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDACID at shard levelnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes infotable locks or row locks depending on storage engineyesyes
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
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
IBM CloudantLeanXcalePlanetScaleRocksetSphinx
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