DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Alibaba Cloud HybridDB vs. Drizzle vs. Kinetica

System Properties Comparison Alibaba Cloud HybridDB vs. Drizzle vs. Kinetica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud HybridDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  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.
DescriptionHybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on GreenplumMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#241  Overall
#114  Relational DBMS
Score0.54
Rank#194  Overall
#96  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlwww.kinetica.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmwww.kinetica.com/­docs
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupDrizzle project, originally started by Brian AkerKinetica
Initial release201620082012
Current release7.2.4, September 20126.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Data schemeyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP API
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-master replication
Master-slave replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table level

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

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

More resources
Alibaba Cloud HybridDBDrizzleKinetica
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

Recent citations in the news

Alibaba Cloud, AWS & DigitalOcean: Cloud Services Compared
31 May 2018, SitePoint

Alibaba Cloud: Rising Star in the Cloud Market
21 May 2018, Datamation

provided by Google News

GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
3 September 2019, Market Research Report

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

Know in depth about Global GPU Database Market, What Recent Study say about Top Companies like Kinetica, Omnisci, Sqream
4 September 2019, Press Releases

GPU Database Market Research And Global Outlook 2019 to 2025
18 September 2019, island Daily Tribune

provided by Google News

Job opportunities

Machine Learning Engineer
BAIN & COMPANY, Palo Alto, CA

jobs by Indeed




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here