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DBMS > Lovefield vs. QuestDB vs. TDengine

System Properties Comparison Lovefield vs. QuestDB vs. TDengine

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonQuestDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA high performance open source SQL database for time series dataTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegoogle.github.io/­lovefieldquestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdquestdb.io/­docsdocs.tdengine.com
DeveloperGoogleQuestDB Technology IncTDEngine, previously Taos Data
Initial release201420142019
Current release2.1.12, February 20173.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava (Zero-GC), C++, RustC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Linux
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnono
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL with time-series extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
Supported programming languagesJavaScriptC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
TriggersUsing read-only observersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infothrough memory mapped files
User concepts infoAccess controlnoyes
More information provided by the system vendor
LovefieldQuestDBTDengine
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengineā„¢ 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
LovefieldQuestDBTDengine
Recent citations in the news

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

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10 February 2022, hackernoon.com

provided by Google News

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5 April 2023, GlobeNewswire

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20 September 2022, SiliconANGLE News

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19 April 2023, Cloud Native Now

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10 February 2022, hackernoon.com

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, GlobeNewswire

provided by Google News



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