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DBMS > Google BigQuery vs. IRONdb vs. Netezza vs. TDengine

System Properties Comparison Google BigQuery vs. IRONdb vs. Netezza vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIRONdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTDengine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitecloud.google.com/­bigquerywww.circonus.com/solutions/time-series-database/www.ibm.com/­products/­netezzagithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.circonus.com/irondb/category/getting-starteddocs.tdengine.com
DeveloperGoogleCirconus LLC.IBMTDEngine, previously Taos Data
Initial release2010201720002019
Current releaseV0.10.20, January 20183.0, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C
Server operating systemshostedLinuxLinux infoincluded in applianceLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.nonono
Secondary indexesnonoyesno
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIJDBC
ODBC
OLE DB
JDBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes, in Luayesno
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noUsers with fine-grained authorization conceptyes
More information provided by the system vendor
Google BigQueryIRONdbNetezza infoAlso called PureData System for Analytics by IBMTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
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