DBMS > Apache Kylin vs. NSDb

System Properties Comparison Apache Kylin vs. NSDb

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Editorial information provided by DB-Engines

Name

Description

A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Relational DBMS

Time Series DBMS

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

Score	1.31
Rank	#151	Overall
	#73	Relational DBMS

Score	0.00
Rank	#363	Overall
	#34	Time Series DBMS

Website

kylin.apache.org

nsdb.io

Technical documentation

kylin.apache.org/docs

nsdb.io/Architecture

Developer

Apache Software Foundation, originally contributed from eBay Inc

Initial release

2015

2017

Current release

3.1.0, July 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Java, Scala

Server operating systems

Linux

Linux
macOS

Data scheme

yes

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

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

all fields are automatically indexed

SQL

Support of SQL

ANSI SQL for queries (using Apache Calcite)

SQL-like query language

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

gRPC
HTTP REST
WebSocket

Supported programming languages

Java
Scala

Server-side scripts

Stored procedures

Partitioning methods

Methods for storing different data on different nodes

Sharding

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

In-memory capabilities

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

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More resources

Recent citations in the news

Demystifying the Metrics Store and Semantic Layer – The New Stack
1 June 2022, thenewstack.io

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

Strikingly Provides Website Builders with Built-in Data Analytics Service Powered by Kyligence
1 June 2022, The Bakersfield Californian

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support – Blocks and Files
10 August 2021, Blocks and Files

Apache Kylin Adds Real-time OLAP
3 January 2020, iProgrammer

provided by Google News

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