DBMS > atoti vs. Hawkular Metrics vs. Percona Server for MongoDB vs. SAP Advantage Database Server

System Properties Comparison atoti vs. Hawkular Metrics vs. Percona Server for MongoDB vs. SAP Advantage Database Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	atoti  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Percona Server for MongoDB  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	An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Object oriented DBMS	Time Series DBMS	Document store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.61 Rank #243   Overall #10   Object oriented DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores
Website	atoti.io	www.hawkular.org	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.atoti.io	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.percona.com/­percona-distribution-for-mongodb
Developer	ActiveViam	Community supported by Red Hat	Percona	Sybase, SAP
Initial release		2014	2015	1993
Current release			3.4.10-2.10, November 2017
License Commercial or Open Source	commercial free versions available	Open Source Apache 2.0	Open Source GPL Version 2	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	Java	C++
Server operating systems		Linux OS X Windows	Linux	Linux Windows
Data scheme		schema-free	schema-free	yes
Typing predefined data types such as float or date		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
Secondary indexes		no	yes	yes
SQL Support of SQL	Multidimensional Expressions (MDX)	no	no	yes
APIs and other access methods		HTTP REST	proprietary protocol using JSON	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages		Go Java Python Ruby	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk	Delphi Perl PHP
Server-side scripts Stored procedures	Python	no	JavaScript	yes
Triggers		yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding, horizontal partitioning	Sharding based on Cassandra	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes		selectable replication factor based on Cassandra	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	yes	no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity		no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		no	no	ACID
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	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 via In-Memory Engine	no caching of (temporary) tables can be configured
User concepts Access control		no	Access rights for users and roles	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	atoti	Hawkular Metrics	Percona Server for MongoDB	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	FRTB product of the year: ActiveViam 28 November 2023, Risk.net provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	MongoDB Performance Tuning 23 May 2024, Database Trends and Applications How to Plan Your MongoDB Upgrade 29 January 2024, The New Stack Why Isn't the World Upgrading Its Databases? 25 March 2024, The New Stack FerretDB goes GA: Gives you MongoDB, without the MongoDB... 15 May 2023, The Stack The essential guide to MongoDB security 2 February 2017, InfoWorld provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

Share this page