DBMS > mSQL vs. NSDb vs. OpenEdge vs. Transwarp ArgoDB vs. Warp 10

System Properties Comparison mSQL vs. NSDb vs. OpenEdge vs. Transwarp ArgoDB vs. Warp 10

Editorial information provided by DB-Engines

Name

Description

mSQL (Mini SQL) is a simple and lightweight RDBMS

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Application development environment with integrated database management system

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

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

Primary database model

Secondary database models

Search engine

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

Score	1.27
Rank	#169	Overall
	#76	Relational DBMS

Score	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Score	0.14
Rank	#344	Overall
	#32	Time Series DBMS

Website

hughestech.com.au/products/msql

nsdb.io

www.progress.com/openedge

www.transwarp.cn/en/product/argodb

www.warp10.io

Technical documentation

nsdb.io/Architecture

documentation.progress.com/output/ua/OpenEdge_latest

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

www.warp10.io/content/02_Getting_started

Developer

Hughes Technologies

Progress Software Corporation

Transwarp

SenX

Initial release

1994

2017

1984

2015

Current release

4.4, October 2021

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

free licenses can be provided

Open Source

Apache Version 2.0

commercial

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java, Scala

Java

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Linux
macOS

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

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

all fields are automatically indexed

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

SQL-like query language

yes

close to SQL 92

yes

APIs and other access methods

JDBC
ODBC

gRPC
HTTP REST
WebSocket

JDBC
ODBC

HTTP API
Jupyter
WebSocket

Supported programming languages

C
C++
Delphi
Java
Perl
PHP
Tcl

Java
Scala

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

since Version 11.4

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Immediate Consistency

based on HBase

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

Durability

Support for making data persistent

yes

Using Apache Lucene

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

Mandatory use of cryptographic tokens, containing fine-grained authorizations

More information provided by the system vendor

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