DBMS > 4D vs. BoltDB vs. Heroic vs. Oracle Coherence vs. PlanetScale

System Properties Comparison 4D vs. BoltDB vs. Heroic vs. Oracle Coherence vs. PlanetScale

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An embedded key-value store for Go.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Oracles in-memory data grid solution

Scalable, distributed, serverless MySQL database platform built on top of Vitess

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	2.37
Rank	#110	Overall
	#54	Relational DBMS

Score	0.70
Rank	#225	Overall
	#31	Key-value stores

Score	0.13
Rank	#335	Overall
	#29	Time Series DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	1.09
Rank	#178	Overall
	#82	Relational DBMS

Website

www.4d.com

github.com/boltdb/bolt

github.com/spotify/heroic

www.oracle.com/java/coherence

planetscale.com

Technical documentation

developer.4d.com

spotify.github.io/heroic

docs.oracle.com/en/middleware/standalone/coherence

planetscale.com/docs

Developer

4D, Inc

Spotify

Oracle

PlanetScale

Initial release

1984

2013

2014

2007

2020

Current release

v20, April 2023

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

MIT License

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

Java

Server operating systems

OS X
Windows

BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

Docker
Linux
macOS

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

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

via Elasticsearch

yes

SQL

Support of SQL

yes

close to SQL 92

yes

with proprietary extensions

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HQL (Heroic Query Language, a JSON-based language)
HTTP API

JCache
JPA
RESTful HTTP API

ADO.NET
JDBC
MySQL protocol
ODBC

Supported programming languages

4D proprietary IDE
PHP

.Net
C++
Java

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

Stored procedures

yes

proprietary syntax

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

yes

yes, with selectable consistency level

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

Immediate Consistency

none

Eventual Consistency
Immediate Consistency

Eventual Consistency across shards
Immediate Consistency within a shard

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

yes

configurable

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

optionally

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 and groups

authentification to access the cache via certificates or http basic authentication

Users with fine-grained authorization concept

no user groups or roles

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More resources

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