DBMS > Apache Impala vs. EsgynDB vs. JaguarDB vs. SAP Advantage Database Server

System Properties Comparison Apache Impala vs. EsgynDB vs. JaguarDB vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	EsgynDB  Xexclude from comparison	JaguarDB  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Analytic DBMS for Hadoop	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Performant, highly scalable DBMS for AI and IoT applications	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Relational DBMS	Key-value store Vector DBMS	Relational 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	www.esgyn.cn	www.jaguardb.com	www.sap.com/products/advantage-database-server.html
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	Esgyn	DataJaguar, Inc.	Sybase, SAP
Initial release	2013	2015	2015	1993
Current release	4.1.0, June 2022		3.3 July 2023
License Commercial or Open Source	Open Source Apache Version 2	commercial	Open Source GPL V3.0	commercial
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++	C++, Java	C++ the server part. Clients available in other languages
Server operating systems	Linux	Linux	Linux	Linux Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	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	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	yes
APIs and other access methods	JDBC ODBC	ADO.NET JDBC ODBC	JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages supporting JDBC/ODBC	All languages supporting JDBC/ODBC/ADO.Net	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	Delphi Perl PHP
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	Java Stored Procedures	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	Multi-source replication between multi datacenters	Multi-source replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no	ACID
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	no	no	no caching of (temporary) tables can be configured
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	fine grained access rights according to SQL-standard	rights management via user accounts	fine grained access rights according to SQL-standard
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More resources
	Apache Impala	EsgynDB	JaguarDB	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	Apache Impala 4 Supports Operator Multi-Threading 29 July 2021, iProgrammer Apache Impala becomes Top-Level Project 28 November 2017, SDTimes.com Cloudera Bringing Impala to AWS Cloud 28 November 2017, Datanami Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop 12 March 2017, Uber Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld provided by Google News			SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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