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DBMS > Axibase vs. Google BigQuery vs. Heroic vs. Machbase Neo vs. Microsoft SQL Server

System Properties Comparison Axibase vs. Google BigQuery vs. Heroic vs. Machbase Neo vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTimeSeries DBMS for AIoT and BigDataMicrosofts flagship relational DBMS
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#288  Overall
#25  Time Series DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.22
Rank#324  Overall
#29  Time Series DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­bigquerygithub.com/­spotify/­heroicmachbase.comwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroicmachbase.com/­dbmslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAxibase CorporationGoogleSpotifyMachbaseMicrosoft
Initial release20132010201420131989
Current release15585V8.0, August 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0commercial infofree test version availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC++
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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.nonononoyes
Secondary indexesnonoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query languageyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovolatile and lookup tableyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlfine grained access rights according to SQL-standard

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More resources
AxibaseGoogle BigQueryHeroicMachbase Neo infoFormer name was InfinifluxMicrosoft SQL Server
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