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DBMS > IBM Cloudant vs. Spark SQL vs. TigerGraph vs. Transwarp Hippo

System Properties Comparison IBM Cloudant vs. Spark SQL vs. TigerGraph vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument storeRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitewww.ibm.com/­products/­cloudantspark.apache.org/­sqlwww.tigergraph.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2010201420172023
Current release3.5.0 ( 2.13), September 20231.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScalaC++C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesVector, Numeric and String
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
Secondary indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
C++
Java
C++
Java
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnoyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic 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.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoRole-based access controlRole based access control and fine grained access rights

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More resources
IBM CloudantSpark SQLTigerGraphTranswarp Hippo
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