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DBMS > Google BigQuery vs. IBM Db2 Event Store vs. InfluxDB vs. NSDb vs. Quasardb

System Properties Comparison Google BigQuery vs. IBM Db2 Event Store vs. InfluxDB vs. NSDb vs. Quasardb

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfluxDB  Xexclude from comparisonNSDb  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDistributed Event Store optimized for Internet of Things use casesDBMS for storing time series, events and metricsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, high-performance timeseries database
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2-event-storewww.influxdata.com/­products/­influxdb-overviewnsdb.ioquasar.ai
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.influxdata.com/­influxdbnsdb.io/­Architecturedoc.quasar.ai/­master
DeveloperGoogleIBMquasardb
Initial release20102017201320172009
Current release2.02.7.6, April 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC and C++GoJava, ScalaC++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X infothrough Homebrew
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes: int, bigint, decimal, stringyes infointeger and binary
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.nonononono
Secondary indexesnononoall fields are automatically indexedyes infowith tags
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeSQL-like query languageSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
gRPC
HTTP REST
WebSocket
HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlyShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factor infoin enterprise version onlySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesUsing Apache Luceneyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engineyes infoTransient mode
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-standardsimple rights management via user accountsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Google BigQueryIBM Db2 Event StoreInfluxDBNSDbQuasardb
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 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 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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More resources
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