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DBMS > AlaSQL vs. Microsoft SQL Server vs. NSDb vs. Qdrant vs. Splice Machine

System Properties Comparison AlaSQL vs. Microsoft SQL Server vs. NSDb vs. Qdrant vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNSDb  Xexclude from comparisonQdrant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryMicrosofts flagship relational DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgwww.microsoft.com/­en-us/­sql-servernsdb.iogithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqllearn.microsoft.com/­en-US/­sql/­sql-servernsdb.io/­Architectureqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffMicrosoftQdrantSplice Machine
Initial release20141989201720212014
Current releaseSQL Server 2022, November 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Java, ScalaRustJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringNumbers, Strings, Geo, Booleanyes
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.noyesnono
Secondary indexesnoyesall fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query languagenoyes
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
HTTP REST
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes infoJava
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server EditionCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLMicrosoft SQL ServerNSDbQdrantSplice Machine
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