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DBMS > Amazon DynamoDB vs. RocksDB vs. RRDtool vs. Splice Machine

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonRocksDB  Xexclude from comparisonRRDtool  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)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.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 storeTime Series DBMSRelational 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
Score4.00
Rank#84  Overall
#11  Key-value stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­dynamodbrocksdb.orgoss.oetiker.ch/­rrdtoolsplicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­facebook/­rocksdb/­wikioss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-works
DeveloperAmazonFacebook, Inc.Tobias OetikerSplice Machine
Initial release2012201319992014
Current release8.11.4, April 20241.8.0, 20223.1, March 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSDOpen Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemshostedLinuxHP-UX
Linux
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes
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 infoExporting into and restoring from XML files possible
Secondary indexesyesnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIC++ API
Java API
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes infoJava
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-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 systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 regionyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, 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 roles can be defined via the AWS Identity and Access Management (IAM)nonoAccess rights for users, groups and roles according to SQL-standard

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon DynamoDBRocksDBRRDtoolSplice Machine
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