DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. Hive vs. Hyprcubd vs. SpatiaLite vs. TDengine

System Properties Comparison Drizzle vs. Hive vs. Hyprcubd vs. SpatiaLite vs. TDengine

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonHyprcubd  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTDengine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopServerless Time Series DBMSSpatial extension of SQLiteTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitehive.apache.orghyprcubd.com (offline)www.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.tdengine.com
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookHyprcubd, Inc.Alessandro FurieriTDEngine, previously Taos Data
Initial release2008201220082019
Current release7.2.4, September 20123.1.3, April 20225.0.0, August 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC++C
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedserver-lessLinux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query languageyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCJDBC
ODBC
Thrift
gRPC (https)JDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersno infohooks for callbacks inside the server can be used.nonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolestoken accessnoyes
More information provided by the system vendor
DrizzleHiveHyprcubdSpatiaLiteTDengine
Specific characteristicsTDengineā„¢ 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
News

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleHiveHyprcubdSpatiaLiteTDengine
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore ...
10 June 2024, AWS Blog

Apache Software Foundation Announces Apache Hive 4.0
30 April 2024, Datanami

Altiscale Becomes First Hadoop-as-a-Service to Deliver Apache Hive 0.13
5 June 2024, Yahoo News UK

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0
2 May 2024, Datanami

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



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here