DBMS > STSdb vs. TDSQL for MySQL vs. WakandaDB vs. XTDB

System Properties Comparison STSdb vs. TDSQL for MySQL vs. WakandaDB vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

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

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.85
Rank	#207	Overall
	#97	Relational DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

github.com/STSSoft/STSdb4

www.tencentcloud.com/products/dcdb

wakanda.github.io

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

www.tencentcloud.com/document/product/1042

wakanda.github.io/doc

www.xtdb.com/docs

Developer

STS Soft SC

Tencent

Wakanda SAS

Juxt Ltd.

Initial release

2011

2013

2012

2019

Current release

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

1.19, September 2021

License

Commercial or Open Source

Open Source

GPLv2, commercial license available

commercial

Open Source

AGPLv3, extended commercial license available

Open Source

MIT License

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++, JavaScript

Clojure

Server operating systems

Windows

hosted

Linux
OS X
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

yes

yes, extensible-data-notation format

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

limited SQL, making use of Apache Calcite

APIs and other access methods

.NET Client API

JDBC
ODBC

RESTful HTTP API

HTTP REST
JDBC

Supported programming languages

C#
Java

C
C#
C++
Java
PHP
Python
Ruby

JavaScript

Clojure
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

none

yes, each node contains all data

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

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

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Users with fine-grained authorization concept

yes

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