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DBMS > Hypertable vs. IBM Cloudant vs. Spark SQL

System Properties Comparison Hypertable vs. IBM Cloudant vs. Spark SQL

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­cloudantspark.apache.org/­sql
Technical documentationcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release200920102014
Current release0.9.8.11, March 20163.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangScala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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
Secondary indexesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsC++ API
Thrift
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseno

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More resources
HypertableIBM CloudantSpark SQL
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