DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Manticore Search vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Manticore Search vs. TerarkDB

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Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Manticore Search  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Multi-storage database for search, including full-text search.	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	Search engine	Key-value store
Secondary database models			Time Series DBMS using the Manticore Columnar Library
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.29 Rank #302   Overall #21   Search engines	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	manticoresearch.com	github.com/­bytedance/­terarkdb
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	manual.manticoresearch.com	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	Community supported by Red Hat	Manticore Software	ByteDance, originally Terark
Initial release	2016	2014	2017	2016
Current release	1703		6.0, February 2023
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source GPL version 2	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	C++	C++
Server operating systems	Linux	Linux OS X Windows	FreeBSD Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	Fixed schema	schema-free
Typing predefined data types such as float or date	optional	yes	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	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	Can index from XML	no
Secondary indexes	yes	no	yes full-text index on all search fields	no
SQL Support of SQL	no	no	SQL-like query language	no
APIs and other access methods	LDAP	HTTP REST	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	C++ API Java API
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	Elixir Go Java JavaScript (Node.js) Perl PHP Python	C++ Java
Server-side scripts Stored procedures	no	no	user defined functions	no
Triggers	yes	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding Partitioning is done manually, search queries against distributed index is supported	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Synchronous replication based on Galera library	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	yes isolated transactions for atomic changes and binary logging for safe writes	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes The original contents of fields are not stored in the Manticore index.	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		yes
User concepts Access control	LDAP bind authentication	no	no	no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	Manticore Search	TerarkDB
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Manticore Search Now Integrates With Grafana 9 August 2023, hackernoon.com Integrating Manticore Search with Apache Superset 8 August 2023, hackernoon.com Clickhouse vs Elasticsearch vs Manticore Search Query Times With a 1.7B NYC Taxi Rides Benchmark 1 June 2022, hackernoon.com 8 Google Alternatives: How to Search Crypto, the Dark Web, More 1 February 2023, Gizmodo Manticore is a Faster Alternative to Elasticsearch in C++ 25 July 2022, hackernoon.com 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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