DBMS > Splice Machine vs. TerminusDB vs. WakandaDB

System Properties Comparison Splice Machine vs. TerminusDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

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

Primary database model

Relational DBMS

Graph DBMS

Object oriented DBMS

Secondary database models

Document store
RDF store

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

Score	0.54
Rank	#255	Overall
	#116	Relational DBMS

Score	0.22
Rank	#323	Overall
	#28	Graph DBMS

Score	0.09
Rank	#352	Overall
	#16	Object oriented DBMS

Website

splicemachine.com

terminusdb.com

wakanda.github.io

Technical documentation

splicemachine.com/how-it-works

terminusdb.github.io/terminusdb/#

wakanda.github.io/doc

Developer

Splice Machine

DataChemist Ltd.

Wakanda SAS

Initial release

2014

2018

2012

Current release

3.1, March 2021

11.0.0, January 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

AGPL 3.0, commercial license available

Open Source

GPL V3

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

Java

Prolog, Rust

C++, JavaScript

Server operating systems

Linux
OS X
Solaris
Windows

Linux

Linux
OS X
Windows

Data scheme

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

SQL-like query language (WOQL)

APIs and other access methods

JDBC
Native Spark Datasource
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

RESTful HTTP API

Supported programming languages

C#
C++
Java
JavaScript (Node.js)
Python
R
Scala

JavaScript
Python

JavaScript

Server-side scripts

Stored procedures

yes

Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Shared Nothhing Auto-Sharding, Columnar Partitioning

Graph Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Yes, via Full Spark Integration

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

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

in-memory journaling

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

Access rights for users, groups and roles according to SQL-standard

Role-based access control

yes

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More resources

Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
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Splice Machine Launches Feature Store to Simplify Feature Engineering
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16 March 2021, VentureBeat

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1 December 2020, The New Stack

Dublin-based data collaboration tool TerminusDB raises €3.6 million in seed round
15 March 2021, Tech.eu

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

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12 April 2022, United Nations Office for Disaster Risk Reduction

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