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DBMS > Heroic vs. Microsoft SQL Server vs. Valentina Server vs. YottaDB

System Properties Comparison Heroic vs. Microsoft SQL Server vs. Valentina Server vs. YottaDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonValentina Server  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosofts flagship relational DBMSObject-relational database and reports serverA fast and solid embedded Key-value store
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitegithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­sql-serverwww.valentina-db.netyottadb.com
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-US/­sql/­sql-servervalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpyottadb.com/­resources/­documentation
DeveloperSpotifyMicrosoftParadigma SoftwareYottaDB, LLC
Initial release2014198919992001
Current releaseSQL Server 2022, November 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
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++C
Server operating systemsLinux
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnoyesyesby using the Octo plugin
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ODBCPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
HeroicMicrosoft SQL ServerValentina ServerYottaDB
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