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DBMS > Google BigQuery vs. Graphite vs. SAP SQL Anywhere vs. TDengine

System Properties Comparison Google BigQuery vs. Graphite vs. SAP SQL Anywhere vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraphite  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsTime 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitecloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-webwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­bigquery/­docsgraphite.readthedocs.iohelp.sap.com/­docs/­SAP_SQL_Anywheredocs.tdengine.com
DeveloperGoogleChris DavisSAP infoformerly SybaseTDEngine, previously Taos Data
Initial release2010200619922019
Current release17, July 20153.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC
Server operating systemshostedLinux
Unix
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nonoyesno
Secondary indexesnonoyesno
SQL infoSupport of SQLyesnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP/JSON APIHTTP API
Sockets
ADO.NET
HTTP API
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes, in C/C++, Java, .Net or Perlno
Triggersnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoDatabase mirroringyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
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 datayesyes infolockingyesyes
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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardyes
More information provided by the system vendor
Google BigQueryGraphiteSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTDengine
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
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Google BigQueryGraphiteSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTDengine
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