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DBMS > HEAVY.AI vs. JSqlDb vs. Lovefield vs. TDengine vs. XTDB

System Properties Comparison HEAVY.AI vs. JSqlDb vs. Lovefield vs. TDengine vs. XTDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJSqlDb  Xexclude from comparisonLovefield  Xexclude from comparisonTDengine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareJavaScript Query Language Database, stores JavaScript objects and primitivesEmbeddable relational database for web apps written in pure JavaScriptTime Series DBMS and big data platformA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
jsqldb.org (offline)google.github.io/­lovefieldgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.tdengine.comwww.xtdb.com/­docs
DeveloperHEAVY.AI, Inc.Konrad von BackstromGoogleTDEngine, previously Taos DataJuxt Ltd.
Initial release20162018201420192019
Current release5.10, January 20220.8, December 20182.1.12, February 20173.0, August 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaScriptCClojure
Server operating systemsLinuxLinux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes, extensible-data-notation format
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.nonononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternStandard SQL with extensions for time-series applicationslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptJavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Clojure
Java
Server-side scripts infoStored proceduresnofunctions in JavaScriptnonono
TriggersnonoUsing read-only observersyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JSqlDbLovefieldTDengineXTDB infoformerly named Crux
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
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JSqlDbLovefieldTDengineXTDB infoformerly named Crux
Recent citations in the news

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

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

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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