DBMS > Milvus vs. SiriDB vs. Titan

System Properties Comparison Milvus vs. SiriDB vs. Titan

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

Description

A DBMS designed for efficient storage of vector data and vector similarity searches

Open Source Time Series DBMS

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Vector DBMS

Time Series DBMS

Graph DBMS

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

Score	1.31
Rank	#205	Overall
	#3	Vector DBMS

Score	0.15
Rank	#384	Overall
	#40	Time Series DBMS

Website

milvus.io

siridb.com

titan.thinkaurelius.com

Technical documentation

milvus.io/docs/overview.md

docs.siridb.com

github.com/thinkaurelius/titan/wiki

Developer

Cesbit

Aurelius, owned by DataStax

Initial release

2019

2017

2012

Current release

2.2, November 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

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.

Zilliz Cloud – Cloud-native service for Milvus

Implementation language

C++, Go

Java

Server operating systems

Linux
macOS

10.14 or later
Windows

with WSL 2 enabled

Linux

Linux
OS X
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

Vector, Numeric and String

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

APIs and other access methods

RESTful HTTP API

HTTP API

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

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

C
C++
Go
Python

Clojure
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graph

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

In-memory capabilities

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

yes

User concepts

Access control

simple rights management via user accounts

User authentification and security via Rexster Graph Server

More information provided by the system vendor

Specific characteristics

Milvus is an open-source and cloud-native vector database built for production-ready...
» more

Competitive advantages

Highly available, versatile, and robust with millisecond latency. Supports batch...
» more

Typical application scenarios

Video media : video understanding, video deduplication. E-commerce and mobile applications...
» more

Key customers

Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more

Market metrics

As of February 2023, 14k+ GitHub stars 2M+ downloads and installations 1000+ enterprise...
» more

Licensing and pricing models

Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

What Is a Vector Database, and How Do They Boost AI? - MUO
25 May 2023, MakeUseOf

LLM integration takes Cloudera data lakehouse from Big Data to Big AI
6 June 2023, VentureBeat

The Rise Of Vector Databases
19 May 2023, Forbes

What Is Unstructured Data?
22 May 2023, The New Stack

OpenAI's Open-Source ChatGPT Plugin - Q&A with Roy Miara
9 May 2023, InfoQ.com

provided by Google News

Graph Database Professional Market 2031 Key Insights and ...
6 June 2023, KaleidoScot

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

DataStax acquires Aurelius, the startup behind the Titan graph ...
3 February 2015, VentureBeat

TigerGraph Launches Graph Database-as-a-Service on Azure ...
16 July 2020, eWeek

The continuing rise of graph databases
15 May 2017, ZDNet

provided by Google News

Job opportunities

Prompt Engineer
Annalect, New York, NY

Talent Acquisition Partner-GTM
Zilliz, Redwood City, CA

Head of Recruitment
Zilliz, Redwood City, CA

Principal Engineer,Towhee
Zilliz, Redwood City, CA

Senior Software Engineer, High Performance Computing
Zilliz, Redwood City, CA

Principal Software Engineer
AT&T, Dallas, TX

jobs by

Share this page