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DBMS > BoltDB vs. QuestDB vs. TDengine vs. Teradata Aster

System Properties Comparison BoltDB vs. QuestDB vs. TDengine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTDengine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.A high performance open source SQL database for time series dataTime Series DBMS and big data platformPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegithub.com/­boltdb/­boltquestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationquestdb.io/­docsdocs.tdengine.com
DeveloperQuestDB Technology IncTDEngine, previously Taos DataTeradata
Initial release2013201420192005
Current release3.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open 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 languageGoJava (Zero-GC), C++, RustC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Windows
Linux
Data schemeschema-freeyes infoschema-free via InfluxDB Line ProtocolyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnononoyes
SQL infoSupport of SQLnoSQL with time-series extensionsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
Triggersnonoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencyyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID for single-table writesACID
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.noyes infothrough memory mapped filesno
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBQuestDBTDengineTeradata Aster
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BoltDBQuestDBTDengineTeradata Aster
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