DBMS > Kyligence Enterprise vs. Linter

System Properties Comparison Kyligence Enterprise vs. Linter

Please select another system to include it in the comparison.

Our visitors often compare Kyligence Enterprise and Linter with Microsoft SQL Server, JaguarDB and Snowflake.

Editorial information provided by DB-Engines

Name

Description

A distributed analytics engine for big data, built on top of Apache Kylin

RDBMS for high security requirements

Primary database model

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.24
Rank	#282	Overall
	#132	Relational DBMS

Score	0.11
Rank	#309	Overall
	#142	Relational DBMS

Website

kyligence.io/kyligence-enterprise

linter.ru/en

Developer

Kyligence, Inc.

relex.ru/en

Initial release

2016

1990

License

Commercial or Open Source

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

C and C++

Server operating systems

Linux

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

Data scheme

yes

Typing

predefined data types such as float or date

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

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

Supported programming languages

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax with the possibility to convert from PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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.

User concepts

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

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

Recent citations in the news

Kyligence Recognized on CRN's Big Data 100 List for 2022
9 May 2022, GlobeNewswire

Kyligence Launches Managed Services Offering for its Cloud Data Analytics Solutions
24 March 2022, MarTech Series

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

Kyligence's Intelligent Data Cloud Platform Now Available on Google Cloud
15 February 2022, GlobeNewswire

Kyligence CEO Identifies Big Data, Cloud, AI and Data Analytics Predictions for 2022
16 December 2021, GlobeNewswire

provided by Google News

Job opportunities

Director of Growth Marketing
Kyligence, United States

Marketing Specialist
Kyligence, United States

Professional Services Engineer
Kyligence, United States

Software Engineer
Kyligence, United States

Key Account Sales Manager
Kyligence, San Francisco Bay Area, CA

jobs by

Share this page