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DBMS > HBase vs. Microsoft SQL Server vs. Snowflake vs. SurrealDB

System Properties Comparison HBase vs. Microsoft SQL Server vs. Snowflake vs. SurrealDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSnowflake  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelWide column storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitehbase.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.snowflake.comsurrealdb.com
Technical documentationhbase.apache.org/­book.htmllearn.microsoft.com/­en-US/­sql/­sql-serverdocs.snowflake.net/­manuals/­index.htmlsurrealdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSnowflake Computing Inc.SurrealDB Ltd
Initial release2008198920142022
Current release2.3.4, January 2021SQL Server 2022, November 2022v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++Rust
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Windows
hostedLinux
macOS
Windows
Data schemeschema-free, schema definition possibleyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.noyesyes
Secondary indexesnoyes
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationyes, based on authentication and database rules

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HBaseMicrosoft SQL ServerSnowflakeSurrealDB
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