DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Kylin vs. GridGain vs. SiriDB

System Properties Comparison Apache Kylin vs. GridGain vs. SiriDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGridGain  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGridGain is an in-memory computing platform, built on Apache IgniteOpen Source Time Series DBMS
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.09
Rank#173  Overall
#78  Relational DBMS
Score1.37
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score0.04
Rank#361  Overall
#38  Time Series DBMS
Websitekylin.apache.orgwww.gridgain.comsiridb.com
Technical documentationkylin.apache.org/­docswww.gridgain.com/­docs/­index.htmldocs.siridb.com
DeveloperApache Software Foundation, originally contributed from eBay IncGridGain Systems, Inc.Cesbit
Initial release201520072017
Current release3.1.0, July 2020GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial, open sourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net, Python, REST, SQLC
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)ANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
simple rights management via user accounts

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
Apache KylinGridGainSiriDB
Recent citations in the news

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

eBay’s Kylin Becomes a Top-Level Apache Open Source Project
9 December 2015, eBay Inc.

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
9 November 2022, AWS Blog

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

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

provided by Google News

GridGain in-memory data and generative AI
10 May 2024, Blocks and Files

Analytics and Data Science News for the Week of July 12; Updates from Anaconda, Databricks, Hebbia & More
12 July 2024, Solutions Review

Nikita Ivanov - GridGain Systems, Founder and CTO
24 April 2018, TechTarget

GridGain In-Memory Data Fabric Becomes Apache Ignite
9 April 2015, Linux.com

This little fish has teeth: GridGain takes on Oracle, SAP with its in-memory computing tech
15 October 2013, VentureBeat

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here