DBMS > Alibaba Cloud Table Store vs. Alibaba Cloud TSDB vs. Drizzle vs. Prometheus vs. Valentina Server

System Properties Comparison Alibaba Cloud Table Store vs. Alibaba Cloud TSDB vs. Drizzle vs. Prometheus vs. Valentina Server

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

A stable, reliable, and cost-effective online high-performance time series database service

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Open-source Time Series DBMS and monitoring system

Object-relational database and reports server

Primary database model

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	0.29
Rank	#301	Overall
	#26	Time Series DBMS

Score	7.69
Rank	#50	Overall
	#3	Time Series DBMS

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

www.alibabacloud.com/product/table-store

www.alibabacloud.com/product/hitsdb

prometheus.io

www.valentina-db.net

Technical documentation

www.alibabacloud.com/help/en/tablestore

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

prometheus.io/docs

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Alibaba

Drizzle project, originally started by Brian Aker

Paradigma Software

Initial release

2016

2008

2015

1999

Current release

7.2.4, September 2012

5.7.5

License

Commercial or Open Source

commercial

Open Source

GNU GPL

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

hosted

FreeBSD
Linux
OS X

Linux
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data and Strings

yes

Numeric data only

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Import of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

APIs and other access methods

HTTP API

HTTP REST

JDBC

RESTful HTTP/JSON API

ODBC

Supported programming languages

Java
Python

Java

C
C++
Java
PHP

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication
Source-replica replication

yes

by Federation

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights based on subaccounts and tokens

Access managed on TSDB instance level

Pluggable authentication mechanisms

e.g. LDAP, HTTP

fine grained access rights according to SQL-standard

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