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DBMS > Amazon DocumentDB vs. Apache Impala vs. InterSystems IRIS vs. RDFox vs. Titan

System Properties Comparison Amazon DocumentDB vs. Apache Impala vs. InterSystems IRIS vs. RDFox vs. Titan

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Impala  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRDFox  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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityHigh performance knowledge graph and semantic reasoning engineTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteaws.amazon.com/­documentdbimpala.apache.orgwww.intersystems.com/­products/­intersystems-iriswww.oxfordsemantic.techgithub.com/­thinkaurelius/­titan
Technical documentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.oxfordsemantic.techgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaInterSystemsOxford Semantic TechnologiesAurelius, owned by DataStax
Initial release20192013201820172012
Current release4.1.0, June 20222023.3, June 20236.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesdepending on used data modelyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC.Net
C++
Java
JavaScript (Node.js)
Python
C
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorSource-replica replicationreplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesRoles, resources, and access typesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon DocumentDBApache ImpalaInterSystems IRISRDFoxTitan
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DocumentDBApache ImpalaInterSystems IRISRDFoxTitan
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