DB-EnginesExtremeDB: hybrid in-memory and persistent storage based on a true IMDSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Kylin vs. Atos Standard Common Repository vs. TerarkDB

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#159  Overall
#78  Relational DBMS
Score0.09
Rank#317  Overall
#48  Key-value stores
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­Terark/­terarkdb
Technical documentationkylin.apache.org/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsTerark
Initial release201520162016
Current release3.1.0, July 20201703
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted open source version available
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 languageJavaJavaC++
Server operating systemsLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesoptionalno
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 indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPC++ API
Java API
Supported programming languagesAll languages with LDAP bindingsC++
Java
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
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 controlLDAP bind authenticationno

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 KylinAtos Standard Common RepositoryTerarkDB
Recent citations in the news

Kyligence builds out data cloud for OLAP and big data
21 January 2021, TechTarget

Analytics Warehouse and its Impact on Today’s Analytics Operations
16 July 2021, EnterpriseTalk

Big Data Analytics Startup Kyligence Raises $70M In Series D Funding
21 April 2021, CRN

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

Article: The Evolution of Precomputation Technology and its Role in Data Analytics
11 February 2021, InfoQ.com

provided by Google News

ByteDance eyes big data push with Terark acquisition EJINSIGHT
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

provided by Google News

Job opportunities

Digital Marketing Manager
Kyligence, California

Presales Solution Architect
Kyligence, United States

Engineering Director - Enterprise Data Management
Amex, Independence, KS

Staff, Data DevOps Engineer
Rivian Automotive, Seattle, WA

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here