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DBMS > Amazon DynamoDB vs. Realm vs. Splice Machine vs. Teradata

System Properties Comparison Amazon DynamoDB vs. Realm vs. Splice Machine vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score7.71
Rank#52  Overall
#9  Document stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­dynamodbrealm.iosplicemachine.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­dynamodbrealm.io/­docssplicemachine.com/­how-it-worksdocs.teradata.com
DeveloperAmazonRealm, acquired by MongoDB in May 2019Splice MachineTeradata
Initial release2012201420141984
Current release3.1, March 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen SourceOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageJava
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyesyes
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.noyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoyesyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes infoJavayes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby integration with AWS Lambdayes infoChange Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes infoIn-Memory realmyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBRealmSplice MachineTeradata
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