DBMS > Atos Standard Common Repository vs. Heroic vs. Kyligence Enterprise vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. Kyligence Enterprise vs. TerarkDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	Kyligence Enterprise  Xexclude from comparison	TerarkDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	A distributed analytics engine for big data, built on top of Apache Kylin	A 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 model	Document store Key-value store	Time Series DBMS	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.46 Rank #266   Overall #124   Relational DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	kyligence.io/­kyligence-enterprise	github.com/­bytedance/­terarkdb
Technical documentation		spotify.github.io/­heroic		bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	Spotify	Kyligence, Inc.	ByteDance, originally Terark
Initial release	2016	2014	2016	2016
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	Java	C++
Server operating systems	Linux		Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	no
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.	yes	no	no	no
Secondary indexes	yes	yes via Elasticsearch	yes	no
SQL Support of SQL	no	no	ANSI SQL for queries (using Apache Calcite)	no
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	JDBC ODBC RESTful HTTP API	C++ API Java API
Supported programming languages	All languages with LDAP bindings			C++ Java
Server-side scripts Stored procedures	no	no		no
Triggers	yes	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		none
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication			no
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More resources
	Atos Standard Common Repository	Heroic	Kyligence Enterprise	TerarkDB
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	A Chinese company is making the cloud 200x faster · TechNode 3 July 2017, TechNode provided by Google News

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