DBMS > Dragonfly vs. IBM Cloudant vs. OpenEdge vs. ToroDB vs. Warp 10

System Properties Comparison Dragonfly vs. IBM Cloudant vs. OpenEdge vs. ToroDB vs. Warp 10

Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance

Database as a Service offering based on Apache CouchDB

Application development environment with integrated database management system

A MongoDB-compatible JSON document store, built on top of PostgreSQL

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

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

Score	0.50
Rank	#245	Overall
	#35	Key-value stores

Score	2.64
Rank	#101	Overall
	#19	Document stores

Score	3.56
Rank	#78	Overall
	#42	Relational DBMS

Score	0.06
Rank	#353	Overall
	#34	Time Series DBMS

Website

github.com/dragonflydb/dragonfly
www.dragonflydb.io

www.ibm.com/products/cloudant

www.progress.com/openedge

github.com/torodb/server

www.warp10.io

Technical documentation

www.dragonflydb.io/docs

cloud.ibm.com/docs/Cloudant

documentation.progress.com/output/ua/OpenEdge_latest

www.warp10.io/content/02_Getting_started

Developer

DragonflyDB team and community contributors

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Progress Software Corporation

8Kdata

SenX

Initial release

2023

2010

1984

2016

2015

Current release

1.0, March 2023

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

BSL 1.1

commercial

Open Source

AGPL-V3

Open Source

Apache License 2.0

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++

Erlang

Java

Server operating systems

Linux

hosted

AIX
HP-UX
Linux
Solaris
Windows

All OS with a Java 7 VM

Linux
OS X
Windows

Data scheme

scheme-free

schema-free

yes

schema-free

Typing

predefined data types such as float or date

strings, hashes, lists, sets, sorted sets, bit arrays

yes

string, integer, double, boolean, date, object_id

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

close to SQL 92

APIs and other access methods

Proprietary protocol

RESP - REdis Serialization Protocol

RESTful HTTP/JSON API

JDBC
ODBC

HTTP API
Jupyter
WebSocket

Supported programming languages

C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl

C#
Java
JavaScript
Objective-C
PHP
Ruby

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

Lua

View functions (Map-Reduce) in JavaScript

yes

WarpScript

Triggers

publish/subscribe channels provide some trigger functionality

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

since Version 11.4

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication
Source-replica replication

Source-replica replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of command blocks and scripts

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes, strict serializability by the server

yes

Optimistic 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.

yes

User concepts

Access control

Password-based authentication

Access rights for users can be defined per database

Users and groups

Access rights for users and roles

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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