DBMS > LeanXcale vs. OpenMLDB vs. Oracle Rdb vs. WakandaDB

System Properties Comparison LeanXcale vs. OpenMLDB vs. Oracle Rdb vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

An open-source machine learning database that provides a feature platform for training and inference

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Key-value store
Relational DBMS

Time Series DBMS

Relational DBMS

Object oriented DBMS

Secondary database models

Relational DBMS

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

Score	0.36
Rank	#280	Overall
	#40	Key-value stores
	#129	Relational DBMS

Score	0.10
Rank	#359	Overall
	#36	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

www.leanxcale.com

openmldb.ai

www.oracle.com/database/technologies/related/rdb.html

wakanda.github.io

Technical documentation

openmldb.ai/docs/zh/main

www.oracle.com/database/technologies/related/rdb-doc.html

wakanda.github.io/doc

Developer

LeanXcale

4 Paradigm Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Wakanda SAS

Initial release

2015

2020

1984

2012

Current release

2024-2 February 2024

7.4.1.1, 2021

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

AGPLv3, extended commercial license available

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

C++, Java, Scala

C++, JavaScript

Server operating systems

Linux

HP Open VMS

Linux
OS X
Windows

Data scheme

yes

Fixed schema

Flexible Schema (defined schema, partial schema, 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.

Secondary indexes

yes

SQL

Support of SQL

yes

through Apache Derby

yes

APIs and other access methods

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JDBC
SQLAlchemy

RESTful HTTP API

Supported programming languages

C
Java
Scala

C++
Go
Java
Python
Scala

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

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

fine grained access rights according to SQL-standard

yes

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