DBMS > Heroic vs. Linter vs. Oracle Berkeley DB vs. SAP Advantage Database Server

System Properties Comparison Heroic vs. Linter vs. Oracle Berkeley DB vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Heroic  Xexclude from comparison	Linter  Xexclude from comparison	Oracle Berkeley DB  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	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	RDBMS for high security requirements	Widely used in-process key-value store	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Time Series DBMS	Relational DBMS	Key-value store supports sorted and unsorted key sets Native XML DBMS in the Oracle Berkeley DB XML version	Relational DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.12 Rank #350   Overall #152   Relational DBMS	Score 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS
Website	github.com/­spotify/­heroic	linter.ru	www.oracle.com/­database/­technologies/­related/­berkeleydb.html	www.sap.com/products/advantage-database-server.html
Technical documentation	spotify.github.io/­heroic		docs.oracle.com/­cd/­E17076_05/­html/­index.html
Developer	Spotify	relex.ru	Oracle originally developed by Sleepycat, which was acquired by Oracle	Sybase, SAP
Initial release	2014	1990	1994	1993
Current release			18.1.40, May 2020
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source commercial license available	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	Java	C and C++	C, Java, C++ (depending on the Berkeley DB edition)
Server operating systems		AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows	AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows	Linux Windows
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	yes	yes	no	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	yes only with the Berkeley DB XML edition	no
Secondary indexes	yes via Elasticsearch	yes	yes	yes
SQL Support of SQL	no	yes	yes SQL interfaced based on SQLite is available	yes
APIs and other access methods	HQL (Heroic Query Language, a JSON-based language) HTTP API	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)		.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages		C C# C++ Java Perl PHP Python Qt Ruby Tcl	.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET others Third-party libraries to manipulate Berkeley DB files are available for many languages C C# C++ Java JavaScript (Node.js) 3rd party binding Perl Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	no	yes proprietary syntax with the possibility to convert from PL/SQL	no	yes
Triggers	no	yes	yes only for the SQL API	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Immediate 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	ACID	ACID
Concurrency Support for concurrent manipulation of data	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 caching of (temporary) tables can be configured
User concepts Access control		fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard
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More resources
	Heroic	Linter	Oracle Berkeley DB	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News		Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, HPCwire ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine Oracle buys Sleepycat Software 14 February 2006, MarketWatch 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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