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

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

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Database as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSDocument storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.featurebase.comwww.ibm.com/­products/­cloudantspark.apache.org/­sqlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.featurebase.comcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMolecula and Pilosa Open Source ContributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2017201020142023
Current release2022, May 20223.5.0 ( 2.13), September 20231.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangScalaC++
Server operating systemsLinux
macOS
hostedLinux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesVector, 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 indexesnoyesnono
SQL infoSupport of SQLSQL queriesnoSQL-like DML and DDL statementsno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoRole based access control and fine grained access rights

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More resources
FeatureBaseIBM CloudantSpark SQLTranswarp Hippo
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