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DBMS > Amazon Redshift vs. Riak KV vs. RocksDB vs. SingleStore

System Properties Comparison Amazon Redshift vs. Riak KV vs. RocksDB vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonRiak KV  Xexclude from comparisonRocksDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed, fault tolerant key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteaws.amazon.com/­redshiftrocksdb.orgwww.singlestore.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.tiot.jp/­riak-docs/­riak/­kv/­latestgithub.com/­facebook/­rocksdb/­wikidocs.singlestore.com
DeveloperAmazon (based on PostgreSQL)OpenSource, formerly Basho TechnologiesFacebook, Inc.SingleStore Inc.
Initial release2012200920132013
Current release3.2.0, December 20229.4.0, June 20248.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoBSDcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangC++C++, Go
Server operating systemshostedLinux
OS X
LinuxLinux info64 bit version required
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesrestrictedrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
HTTP API
Native Erlang Interface
C++ API
Java API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC 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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonErlangnoyes
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"horizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak SecuritynoFine grained access control via users, groups and roles

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More resources
Amazon RedshiftRiak KVRocksDBSingleStore infoformer name was MemSQL
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