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DBMS > IBM Cloudant vs. IBM Db2 Event Store vs. Spark SQL vs. Titan

System Properties Comparison IBM Cloudant vs. IBM Db2 Event Store vs. Spark SQL vs. Titan

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSpark SQL  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesSpark SQL is a component on top of 'Spark Core' for structured data processingTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storespark.apache.org/­sqlgithub.com/­thinkaurelius/­titan
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storespark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMApache Software FoundationAurelius, owned by DataStax
Initial release2010201720142012
Current release2.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++ScalaJava
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Python
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Coreyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
IBM CloudantIBM Db2 Event StoreSpark SQLTitan
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