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DBMS > Amazon DynamoDB vs. Realm vs. Splice Machine

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  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 Spark
Primary database modelDocument store
Key-value store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score69.14
Rank#17  Overall
#2  Document stores
#2  Key-value stores
Score9.38
Rank#43  Overall
#8  Document stores
Score0.88
Rank#181  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­dynamodbrealm.iosplicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbrealm.io/­docsdoc.splicemachine.com
DeveloperAmazonRealm, acquired by MongoDB in May 2019Splice Machine
Initial release201220142014
Current release2.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
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
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
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
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersyes infoby integration with AWS Lambdayes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-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 Integration
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 integritynonoyes
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 regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
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-standard
More information provided by the system vendor
Amazon DynamoDBRealmSplice Machine
Specific characteristicsNow a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsRealm database is licensed under the Apache License v2.0.
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBRealmSplice Machine
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