DBMS > Milvus vs. NCache vs. RocksDB vs. searchxml vs. STSdb

System Properties Comparison Milvus vs. NCache vs. RocksDB vs. searchxml vs. STSdb

Editorial information provided by DB-Engines

Name

Description

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

Open-Source and Enterprise in-memory Key-Value Store

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

DBMS for structured and unstructured content wrapped with an application server

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Vector DBMS

Key-value store

Native XML DBMS
Search engine

Key-value store

Secondary database models

Document store
Search engine

Using distributed Lucene

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

Score	2.78
Rank	#103	Overall
	#3	Vector DBMS

Score	0.96
Rank	#195	Overall
	#29	Key-value stores

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

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

Website

milvus.io

www.alachisoft.com/ncache

rocksdb.org

www.searchxml.net/category/products

github.com/STSSoft/STSdb4

Technical documentation

milvus.io/docs/overview.md

www.alachisoft.com/resources/docs

github.com/facebook/rocksdb/wiki

www.searchxml.net/support/handouts

Developer

Alachisoft

Facebook, Inc.

informationpartners gmbh

STS Soft SC

Initial release

2019

2005

2013

2015

2011

Current release

2.3.4, January 2024

5.3.3, April 2024

9.2.1, May 2024

1.0

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Enterprise Edition available

Open Source

BSD

commercial

Open Source

GPLv2, 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.

Zilliz Cloud – Cloud-native service for Milvus

Implementation language

C++, Go

C#, .NET, .NET Core, Java

C++

Server operating systems

Linux
macOS

10.14 or later
Windows

with WSL 2 enabled

Linux
Windows

Linux

Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Vector, Numeric and String

partial

Supported data types are Lists, Queues, Hashsets, Dictionary and Counter

yes

primitive types and user defined types (classes)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.

APIs and other access methods

RESTful HTTP API

IDistributedCache
JCache
LINQ
Proprietary native API

C++ API
Java API

RESTful HTTP API
WebDAV
XQuery
XSLT

.NET Client API

Supported programming languages

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

.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala

C
C++
Go
Java
Perl
Python
Ruby

C++

most other programming languages supported via APIs

C#
Java

Server-side scripts

Stored procedures

support for stored procedures with SQL-Server CLR

yes

on the application server

Triggers

yes

Notifications

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

yes

sychronisation to multiple collections

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency

Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

optimistic locking and pessimistic locking

yes

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Role based access control and fine grained access rights

Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

Domain, group and role-based access control at the document level and for application services

More information provided by the system vendor

Specific characteristics

Milvus is an open-source and cloud-native vector database built for production-ready...
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NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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Competitive advantages

Highly available, versatile, and robust with millisecond latency. Supports batch...
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NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
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Typical application scenarios

RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more

NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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Key customers

Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
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Market metrics

As of January 2024, 25k+ GitHub stars 10M+ downloads and installations 3k+ enterprise...
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Market Leader in .NET Distributed Caching since 2005.
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Licensing and pricing models

Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
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