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DBMS > Amazon DynamoDB vs. Firebolt vs. Riak TS vs. RocksDB vs. Splice Machine

System Properties Comparison Amazon DynamoDB vs. Firebolt vs. Riak TS vs. RocksDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFirebolt  Xexclude from comparisonRiak TS  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEmbeddable 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
Relational DBMSTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.firebolt.iorocksdb.orgsplicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.firebolt.iowww.tiot.jp/­riak-docs/­riak/­ts/­latestgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperAmazonFirebolt Analytics Inc.Open Source, formerly Basho TechnologiesFacebook, Inc.Splice Machine
Initial release20122020201520132014
Current release3.0.0, September 20229.2.1, May 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen SourceOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++Java
Server operating systemshostedhostedLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesyesyesrestrictednoyes
SQL infoSupport of SQLnoyesyes, limitednoyes
APIs and other access methodsRESTful HTTP API.Net
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoErlangnoyes infoJava
Triggersyes infoby integration with AWS Lambdanoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednoyes
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 regionnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.yesyes
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 DynamoDBFireboltRiak TSRocksDBSplice Machine
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