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DBMS > Axibase vs. Firebolt vs. HarperDB vs. Microsoft SQL Server

System Properties Comparison Axibase vs. Firebolt vs. HarperDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFirebolt  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Microsofts flagship relational DBMS
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.firebolt.iowww.harperdb.iowww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.firebolt.iodocs.harperdb.io/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAxibase CorporationFirebolt Analytics Inc.HarperDBMicrosoft
Initial release2013202020171989
Current release155853.1, August 2021SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infofree community edition availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaNode.jsC++
Server operating systemsLinuxhostedLinux
OS X
Linux
Windows
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes infoJSON data typesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clustertables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes infothe nodes on which a table resides can be definedyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AxibaseFireboltHarperDBMicrosoft SQL Server
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