DBMS > Apache Impala vs. Atos Standard Common Repository vs. EsgynDB vs. JaguarDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. EsgynDB vs. JaguarDB

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Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	JaguarDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Analytic DBMS for Hadoop	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Performant, highly scalable DBMS for AI and IoT applications
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Key-value store Vector DBMS
Secondary database models	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.45 Rank #40   Overall #24   Relational DBMS		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS
Website	impala.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	www.jaguardb.com
Technical documentation	impala.apache.org/­impala-docs.html			www.jaguardb.com/­support.html
Developer	Apache Software Foundation Apache top-level project, originally developed by Cloudera	Atos Convergence Creators	Esgyn	DataJaguar, Inc.
Initial release	2013	2016	2015	2015
Current release	4.1.0, June 2022	1703		3.3 July 2023
License Commercial or Open Source	Open Source Apache Version 2	commercial	commercial	Open Source GPL V3.0
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	C++	Java	C++, Java	C++ the server part. Clients available in other languages
Server operating systems	Linux	Linux	Linux	Linux
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	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.	no	yes	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	no	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers
APIs and other access methods	JDBC ODBC	LDAP	ADO.NET JDBC ODBC	JDBC ODBC
Supported programming languages	All languages supporting JDBC/ODBC	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	no	Java Stored Procedures	no
Triggers	no	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	yes	Multi-source replication between multi datacenters	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations	ACID	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.	no	yes	no	no
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	LDAP bind authentication	fine grained access rights according to SQL-standard	rights management via user accounts
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More resources
	Apache Impala	Atos Standard Common Repository	EsgynDB	JaguarDB
Recent citations in the news	Apache Impala becomes Top-Level Project 28 November 2017, SDTimes.com Cloudera Bringing Impala to AWS Cloud 28 November 2017, Datanami Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop 12 March 2017, Uber Updates & Upserts in Hadoop Ecosystem with Apache Kudu 27 October 2017, KDnuggets provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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