DBMS > Splice Machine vs. STSdb vs. TerminusDB vs. YTsaurus

System Properties Comparison Splice Machine vs. STSdb vs. TerminusDB vs. YTsaurus

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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

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

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

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Relational DBMS

Key-value store

Graph DBMS

Document store
Key-value store

Secondary database models

Document store
RDF store

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

Score	0.54
Rank	#252	Overall
	#115	Relational DBMS

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

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

splicemachine.com

github.com/STSSoft/STSdb4

terminusdb.com

ytsaurus.tech

Technical documentation

splicemachine.com/how-it-works

terminusdb.github.io/terminusdb/#

ytsaurus.tech/docs/en

Developer

Splice Machine

STS Soft SC

DataChemist Ltd.

Yandex

Initial release

2014

2011

2018

2023

Current release

3.1, March 2021

4.0.8, September 2015

11.0.0, January 2023

License

Commercial or Open Source

Open Source

AGPL 3.0, commercial license available

Open Source

GPLv2, commercial license available

Open Source

GPL V3

Open Source

Apache License, Version 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

Prolog, Rust

C++

Server operating systems

Linux
OS X
Solaris
Windows

Windows

Linux

Ubuntu

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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)

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
Native Spark Datasource
ODBC

.NET Client API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

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

C#
Java

JavaScript
Python

C++
Go
Java
JavaScript
Python

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

none

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

Journaling Streams

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Yes, via Full Spark Integration

yes

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

Access Control Lists

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More resources

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