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DBMS > atoti vs. BoltDB vs. TDengine

System Properties Comparison atoti vs. BoltDB vs. TDengine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.Time Series DBMS and big data platform
Primary database modelObject oriented DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteatoti.iogithub.com/­boltdb/­boltgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.atoti.iodocs.tdengine.com
DeveloperActiveViamTDEngine, previously Taos Data
Initial release20132019
Current release3.0, August 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT LicenseOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)noStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
RESTful HTTP API
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoyes
More information provided by the system vendor
atotiBoltDBTDengine
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
atotiBoltDBTDengine
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