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DBMS > BoltDB vs. HarperDB vs. TDengine vs. Ultipa

System Properties Comparison BoltDB vs. HarperDB vs. TDengine vs. Ultipa

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHarperDB  Xexclude from comparisonTDengine  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Time Series DBMS and big data platformHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelKey-value storeDocument storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitegithub.com/­boltdb/­boltwww.harperdb.iogithub.com/­taosdata/­TDengine
tdengine.com
www.ultipa.com
Technical documentationdocs.harperdb.io/­docsdocs.tdengine.comwww.ultipa.com/­document
DeveloperHarperDBTDEngine, previously Taos DataUltipa
Initial release2013201720192019
Current release3.1, August 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community edition availableOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Windows
Data schemeschema-freedynamic schemayes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyes
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 indexesnoyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1no
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and rolesyes
More information provided by the system vendor
BoltDBHarperDBTDengineUltipa
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
BoltDBHarperDBTDengineUltipa
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