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DBMS > Microsoft Azure Table Storage vs. Rockset vs. SingleStore vs. SQream DB

System Properties Comparison Microsoft Azure Table Storage vs. Rockset vs. SingleStore vs. SQream DB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL 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 typea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.07
Rank#180  Overall
#31  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesrockset.comwww.singlestore.comsqream.com
Technical documentationdocs.rockset.comdocs.singlestore.comdocs.sqream.com
DeveloperMicrosoftRocksetSingleStore Inc.SQream Technologies
Initial release2012201920132017
Current release8.5, January 20242022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, GoC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedLinux info64 bit version requiredLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes, ANSI Standard SQL Types
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 infoingestion from XML files supportedno
Secondary indexesnoall fields are automatically indexedyesno
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyes infobut no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP APIHTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.Net
JDBC
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding infohash partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and roles

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More resources
Microsoft Azure Table StorageRocksetSingleStore infoformer name was MemSQLSQream DB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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