DBMS > Graphite vs. MySQL vs. Pinecone vs. StarRocks

System Properties Comparison Graphite vs. MySQL vs. Pinecone vs. StarRocks

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Editorial information provided by DB-Engines

Name

Description

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

Widely used open source RDBMS

A managed, cloud-native vector database

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Time Series DBMS

Relational DBMS

Key/Value like access via memcached API

Vector DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	4.57
Rank	#73	Overall
	#5	Time Series DBMS

Score	1083.74
Rank	#2	Overall
	#2	Relational DBMS

Score	3.16
Rank	#95	Overall
	#2	Vector DBMS

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Website

github.com/graphite-project/graphite-web

www.mysql.com

www.pinecone.io

www.starrocks.io

Technical documentation

graphite.readthedocs.io

dev.mysql.com/doc

docs.pinecone.io/docs/overview

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Chris Davis

Oracle

since 2010, originally MySQL AB, then Sun

Pinecone Systems, Inc

The Linux Foundation

since Feb 2023

Initial release

2006

1995

2019

2020

Current release

8.4.0, April 2024

2.5.3, March 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

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Implementation language

Python

C and C++

C++, Java

Server operating systems

Linux
Unix

FreeBSD
Linux
OS X
Solaris
Windows

hosted

Linux

Data scheme

yes

Typing

predefined data types such as float or date

Numeric data only

yes

String, Number, Boolean

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

APIs and other access methods

HTTP API
Sockets

ADO.NET
JDBC
ODBC
Proprietary native API

RESTful HTTP API

JDBC
MySQL protocol

Supported programming languages

JavaScript (Node.js)
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Python

Java

Server-side scripts

Stored procedures

yes

proprietary syntax

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

locking

yes

table locks or row locks depending on storage engine

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

Users with fine-grained authorization concept

no user groups or roles

Role based access control and fine grained access rights

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