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DBMS > Amazon DocumentDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Splice Machine

System Properties Comparison Amazon DocumentDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.43
Rank#143  Overall
#23  Document stores
Score1.70
Rank#134  Overall
#67  Relational DBMS
Score1.74
Rank#130  Overall
#21  Document stores
#24  Key-value stores
#2  Object oriented DBMS
#64  Relational DBMS
Score0.75
Rank#201  Overall
#98  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­db2-warehousewww.intersystems.com/­products/­intersystems-irissplicemachine.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdoc.splicemachine.com
DeveloperIBMInterSystemsSplice Machine
Initial release2019201420182014
Current release2021.1, June 20213.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedAIX
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSplice Machine
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More resources
Amazon DocumentDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSplice Machine
Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon Adds Global Clusters to DocumentDB
9 June 2021, InfoQ.com

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

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9 January 2019, Business Wire

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InterSystems announces IRIS FHIR Accelerator Service
23 September 2021, Healthcare IT News

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20 September 2021, Business Wire

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InterSystems and Unqork Partner to Accelerate Innovation and Unlock Business Value for Financial Services Customers
27 August 2021, Business Wire

Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

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Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

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24 September 2021, Bulk Solids Handling

Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
9 March 2021, PRNewswire

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PRNewswire

How Splice Machine's Data Platform for Intelligent Apps Works | eWEEK
29 September 2020, eWeek

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