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DBMS > Amazon DynamoDB vs. RocksDB vs. Splice Machine

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-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
Key-value 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
Score3.43
Rank#92  Overall
#17  Key-value stores
Score0.88
Rank#181  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­dynamodbrocksdb.orgsplicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­facebook/­rocksdb/­wikidoc.splicemachine.com
DeveloperAmazonFacebook, Inc.Splice Machine
Initial release201220132014
Current release6.14.6 , December 20202.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSDOpen 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 languageC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIC++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersyes infoby integration with AWS Lambdanoyes
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 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 regionyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBRocksDBSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

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6 January 2021

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21 May 2020

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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 DynamoDBRocksDBSplice Machine
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Recent citations in the news

NoSQL Database Market SWOT Analysis including key players DynamoDB, he Apache Software Foundation, MarkLogic
24 December 2020, NeighborWebSJ

ScyllaDB Unveils One-Step Migration from Amazon DynamoDB to Scylla NoSQL Database
2 September 2020, GlobeNewswire

ScyllaDB Adds Amazon DynamoDB-compatible API to Database-as-a-Service Offering
10 June 2020, GlobeNewswire

Innovative Spirit Shines at 2021 Scylla User Awards
13 January 2021, StreetInsider.com

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17 October 2019, Phoronix

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Micron Announces An Open-Source Storage Engine Designed For SSDs, Persistent Memory
27 April 2020, Phoronix

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

All 51 startups that debuted at Y Combinator W17 Demo Day 2
22 March 2017, TechCrunch

provided by Google News

Splice Machine Creates Feature Store Platform
20 January 2021, Database Trends and Applications

Splice Machine Launches the Splice Machine Feature Store Platform to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, thepress.net

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

Splice Machine Announces Livewire, the Operational AI Platform Designed for Industrial Use Cases
4 November 2020, PRNewswire

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

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