DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hyprcubd vs. Machbase Neo vs. SQLite vs. Vitess

System Properties Comparison Hyprcubd vs. Machbase Neo vs. SQLite vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSQLite  Xexclude from comparisonVitess  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSTimeSeries DBMS for AIoT and BigDataWidely used embeddable, in-process RDBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehyprcubd.com (offline)machbase.comwww.sqlite.orgvitess.io
Technical documentationmachbase.com/­dbmswww.sqlite.org/­docs.htmlvitess.io/­docs
DeveloperHyprcubd, Inc.MachbaseDwayne Richard HippThe Linux Foundation, PlanetScale
Initial release201320002013
Current releaseV8.0, August 20233.46.0  (23 May 2024), May 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree test version availableOpen Source infoPublic DomainOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCCGo
Server operating systemshostedLinux
macOS
Windows
server-lessDocker
Linux
macOS
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoSQL-92 is not fully supportedyes infowith proprietary extensions
APIs and other access methodsgRPC (https)gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononoyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datanoyesyes infovia file-system locksyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyesyes
User concepts infoAccess controltoken accesssimple password-based access controlnoUsers with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

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
3rd partiesNavicat for SQLite is a powerful and comprehensive SQLite GUI that provides a complete set of functions for database management and development.
» more

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

More resources
HyprcubdMachbase Neo infoFormer name was InfinifluxSQLiteVitess
DB-Engines blog posts

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

Microsoft Research chief scientist has no issue with Windows Recall
6 June 2024, The Register

How to work with Dapper and SQLite in ASP.NET Core
10 May 2024, InfoWorld

SQLite Vulnerability Could Put Thousands of Apps at Risk
22 March 2024, Dark Reading

A Guide to Working with SQLite Databases in Python
21 May 2024, KDnuggets

SQLite's new support for binary JSON is similar but different from a PostgreSQL feature • DEVCLASS
16 January 2024, DevClass

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.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

Neo4j logo

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

Milvus logo

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

Present your product here