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DBMS > Axibase vs. Google BigQuery vs. Heroic vs. Microsoft SQL Server vs. searchxml

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

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonsearchxml  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 ElasticSearchMicrosofts flagship relational DBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#292  Overall
#25  Time Series DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#397  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­bigquerygithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­sql-serverwww.searchxml.net/­category/­products
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroiclearn.microsoft.com/­en-US/­sql/­sql-serverwww.searchxml.net/­support/­handouts
DeveloperAxibase CorporationGoogleSpotifyMicrosoftinformationpartners gmbh
Initial release20132010201419892015
Current release15585SQL Server 2022, November 20221.0
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsLinuxhostedLinux
Windows
Windows
Data schemeyesyesschema-freeyesschema-free
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.nononoyesyes
Secondary indexesnonoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesno
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
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoon the application server
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes, but depending on the SQL-Server Editionyes infosychronisation to multiple collections
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
AxibaseGoogle BigQueryHeroicMicrosoft SQL Serversearchxml
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