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DBMS > Google BigQuery vs. Heroic vs. InfluxDB vs. Microsoft SQL Server vs. Tibero

System Properties Comparison Google BigQuery vs. Heroic vs. InfluxDB vs. Microsoft SQL Server vs. Tibero

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsMicrosofts flagship relational DBMSA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score0.30
Rank#274  Overall
#22  Time Series DBMS
Score29.78
Rank#29  Overall
#1  Time Series DBMS
Score944.96
Rank#3  Overall
#3  Relational DBMS
Score1.94
Rank#128  Overall
#62  Relational DBMS
Websitecloud.google.com/­bigqueryspotify.github.io/­heroic/­#!/­indexwww.influxdata.com/­products/­influxdb-overviewwww.microsoft.com/­en-us/­sql-serverwww.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-US/­sql/­sql-servertechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogleSpotifyMicrosoftTmaxSoft
Initial release20102014201319892003
Current release2.3, June 2022SQL Server 2019, November 20196, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C and Assembler
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes
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 indexesnoyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPersistent Stored Procedure (PSM)
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlytables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonoACIDACID
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.nonoyes infoDepending on used storage engineyesno infoplanned for next version
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple rights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
Google BigQueryHeroicInfluxDBMicrosoft SQL ServerTibero
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google BigQueryHeroicInfluxDBMicrosoft SQL ServerTibero
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