DBMS > 4D vs. Graphite vs. Hypertable vs. PieCloudDB

System Properties Comparison 4D vs. Graphite vs. Hypertable vs. PieCloudDB

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

Application development environment with integrated database management system

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

An open source BigTable implementation based on distributed file systems such as Hadoop

A cloud-native analytic database platform with new technologoy for elastic MPP

Primary database model

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	4.57
Rank	#73	Overall
	#5	Time Series DBMS

Score	0.25
Rank	#304	Overall
	#138	Relational DBMS

Website

www.4d.com

github.com/graphite-project/graphite-web

www.openpie.com

Technical documentation

developer.4d.com

graphite.readthedocs.io

Developer

4D, Inc

Chris Davis

Hypertable Inc.

OpenPie

Initial release

1984

2006

2009

Current release

v20, April 2023

0.9.8.11, March 2016

2.1, January 2023

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

GNU version 3. Commercial license available

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

Python

C++

Server operating systems

OS X
Windows

Linux
Unix

Linux
OS X
Windows

an inofficial Windows port is available

hosted

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

yes

close to SQL 92

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API
Sockets

C++ API
Thrift

CLI Client
JDBC
ODBC

Supported programming languages

4D proprietary IDE
PHP

JavaScript (Node.js)
Python

C++
Java
Perl
PHP
Python
Ruby

Java
PL/SQL
Python
R

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

selectable replication factor on file system level

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

locking

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.

User concepts

Access control

Users and groups

User Roles and pluggable authentication with full SQL Standard

More information provided by the system vendor

Specific characteristics

PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more

Competitive advantages

Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more

Typical application scenarios

PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more

Key customers

Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities etc.,
» more

Licensing and pricing models

PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment；...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

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2 March 2016, Paul Andlinger

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1 June 2015, Paul Andlinger

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The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
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Getting Started with Monitoring using Graphite
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