DBMS > Kyligence Enterprise vs. XTDB

System Properties Comparison Kyligence Enterprise vs. XTDB

Please select another system to include it in the comparison.

Our visitors often compare Kyligence Enterprise and XTDB with Snowflake.

Editorial information provided by DB-Engines

Name

Description

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

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Relational DBMS

Document store

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

Score	0.55
Rank	#282	Overall
	#130	Relational DBMS

Score	0.19
Rank	#353	Overall
	#48	Document stores

Website

kyligence.io/kyligence-enterprise

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

www.xtdb.com/docs

Developer

Kyligence, Inc.

Juxt Ltd.

Initial release

2016

2019

Current release

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

MIT License

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

Clojure

Server operating systems

Linux

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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)

limited SQL, making use of Apache Calcite

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

HTTP REST
JDBC

Supported programming languages

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, each node contains all data

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

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

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

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

10 Coolest Business Analytics Companies of 2023
22 May 2023, Analytics Insight

Analytics and Data Science News for the Week of April 14; Updates ...
14 April 2023, Solutions Review

Kyligence Recognized as a Representative Provider in 2022 ...
17 October 2022, MarTech Series

Kyligence Raises $70 Million Series D Funding Round
21 April 2021, GlobeNewswire

Kyligence Doubles Down on Cubes in the Cloud
22 January 2021, Datanami

provided by Google News

Job opportunities

Senior Marketing Manager
Kyligence, United States

jobs by

Share this page