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DBMS > Amazon DocumentDB vs. Citus vs. GridGain vs. Kinetica vs. SiriDB

System Properties Comparison Amazon DocumentDB vs. Citus vs. GridGain vs. Kinetica vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCitus  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsOpen Source Time Series DBMS
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.citusdata.comwww.gridgain.comwww.kinetica.comsiridb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.citusdata.comwww.gridgain.com/­docs/­index.htmldocs.kinetica.comdocs.siridb.com
DeveloperGridGain Systems, Inc.KineticaCesbit
Initial release20192010200720122017
Current release8.1, December 2018GridGain 8.5.17.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC, C++C
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoNumeric data
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.noyes infospecific XML type available, but no XML query functionalityyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnoyesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users and roles on table levelsimple rights management via user accounts

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More resources
Amazon DocumentDBCitusGridGainKineticaSiriDB
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