DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Heroic vs. Kyligence Enterprise vs. OpenQM vs. OrigoDB

System Properties Comparison Heroic vs. Kyligence Enterprise vs. OpenQM vs. OrigoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed analytics engine for big data, built on top of Apache KylinQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph database
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websitegithub.com/­spotify/­heroickyligence.io/­kyligence-enterprisewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.com
Technical documentationspotify.github.io/­heroicorigodb.com/­docs
DeveloperSpotifyKyligence, Inc.Rocket Software, originally Martin PhillipsRobert Friberg et al
Initial release2014201619932009 infounder the name LiveDB
Current release3.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.nonoyesno infocan be achieved using .NET
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights can be defined down to the item levelRole based authorization

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
HeroicKyligence EnterpriseOpenQM infoalso called QMOrigoDB
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Kyligence Grows OLAP Business in the Cloud
20 February 2020, Datanami

Kyligence adds ClickHouse OLAP engine to its analytics platform
10 August 2021, VentureBeat

Introducing Kyligence Copilot: The AI Copilot for Data to Excel Your KPIs
23 August 2023, insideBIGDATA

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

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

provided by Google News



Share this page

Featured Products

Milvus logo

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

Neo4j logo

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

Present your product here