DBMS > JanusGraph vs. RisingWave vs. SiriDB vs. Transwarp StellarDB vs. Yaacomo

System Properties Comparison JanusGraph vs. RisingWave vs. SiriDB vs. Transwarp StellarDB vs. Yaacomo

Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Open Source Time Series DBMS

A distributed graph DBMS built for enterprise-level graph applications

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

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

Score	1.85
Rank	#134	Overall
	#12	Graph DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Website

janusgraph.org

www.risingwave.com/database

siridb.com

www.transwarp.cn/en/product/stellardb

yaacomo.com

Technical documentation

docs.janusgraph.org

docs.risingwave.com/docs/current/intro

docs.siridb.com

Developer

Linux Foundation; originally developed as Titan by Aurelius

RisingWave Labs

Cesbit

Transwarp

Q2WEB GmbH

Initial release

2017

2022

2017

2009

Current release

1.0.0, October 2023

1.2, September 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Open Source

MIT License

commercial

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

Rust

Server operating systems

Linux
OS X
Unix
Windows

Docker
Linux
macOS

Linux

Android
Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

yes

Numeric data

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

yes

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

JDBC
PostgreSQL wire protocol

HTTP API

OpenCypher

JDBC
ODBC

Supported programming languages

Clojure
Java
Python

Go
Java
JavaScript (Node.js)
Python

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

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

User authentification and security via Rexster Graph Server

Users and Roles

simple rights management via user accounts

yes

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

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3 October 2019, The New Stack

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