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DBMS > Amazon SimpleDB vs. Splice Machine vs. XTDB vs. Yaacomo

System Properties Comparison Amazon SimpleDB vs. Splice Machine vs. XTDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queriesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.43
Rank#122  Overall
#23  Key-value stores
Score0.94
Rank#211  Overall
#99  Relational DBMS
Score0.23
Rank#314  Overall
#45  Document stores
Score0.00
Rank#377  Overall
#157  Relational DBMS
Websiteaws.amazon.com/­simpledbsplicemachine.comgithub.com/­xtdb/­xtdb
xtdb.com
yaacomo.com
Technical documentationdocs.aws.amazon.com/­simpledbdoc.splicemachine.comxtdb.com/­docs
DeveloperAmazonSplice MachineJuxt Ltd.Q2WEB GmbH
Initial release2007201420192009
Current release3.1, March 20211.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaClojure
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes, extensible-data-notation formatyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyeslimited SQL, making use of Apache Calciteyes
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShared Nothhing Auto-Sharding, Columnar Partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes, each node contains all dataSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon SimpleDBSplice MachineXTDB infoformerly named CruxYaacomo
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More resources
Amazon SimpleDBSplice MachineXTDB infoformerly named CruxYaacomo
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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Recent citations in the news

Meet the database that supports Amazon.com
14 November 2022, The Register

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
13 November 2013, TechCrunch

provided by Google News

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

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

Splice Machine Launches Feature Store to Simplify Feature Engineering
19 January 2021, Datanami

Unified MLOps: Feature Stores and Model Deployment
13 May 2022, InfoQ.com

Why SQL Will Remain the Data Scientist's Best Friend
5 September 2022, rtinsights.com

provided by Google News

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