DBMS > Atos Standard Common Repository vs. Blueflood vs. Firebolt vs. LeanXcale

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Firebolt vs. LeanXcale

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	Firebolt  Xexclude from comparison	LeanXcale  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	Scalable TimeSeries DBMS based on Cassandra	Highly scalable cloud data warehouse and analytics product Forked from Clickhouse	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Key-value store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 1.73 Rank #140   Overall #63   Relational DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	www.firebolt.io	www.leanxcale.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	docs.firebolt.io
Developer	Atos Convergence Creators	Rackspace	Firebolt Analytics Inc.	LeanXcale
Initial release	2016	2013	2020	2015
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java
Server operating systems	Linux	Linux OS X	hosted
Data scheme	Schema and schema-less with LDAP views	predefined scheme	yes	yes
Typing predefined data types such as float or date	optional	yes	yes
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
Secondary indexes	yes	no	yes
SQL Support of SQL	no	no	yes	yes through Apache Derby
APIs and other access methods	LDAP	HTTP REST	.Net ODBC RESTful HTTP API	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector
Supported programming languages	All languages with LDAP bindings		Go JavaScript (Node.js) Python	C Java Scala
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 based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	depending on storage layer
MapReduce Offers an API for user-defined Map/Reduce methods		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		Immediate Consistency
Foreign keys Referential integrity	no	no		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		ACID
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes		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
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More resources
	Atos Standard Common Repository	Blueflood	Firebolt	LeanXcale
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	10 Best Data Pipeline Tools of 2024 to Boost Your Productivity 20 February 2024, Datamation Cloud data unicorn Firebolt fires dozens of employees 7 September 2022, CTech Firebolt, a data warehouse startup, raises $100M at a $1.4B valuation for faster, cheaper analytics on large data sets 26 January 2022, TechCrunch Firebolt vs Snowflake | Data Warehousing Platform Comparison 1 April 2022, TechRepublic Firebolt secures a fresh round of funding to expand its cloud data warehouse technology 26 January 2022, VentureBeat provided by Google News

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