DBMS > Heroic vs. SAP Advantage Database Server

System Properties Comparison Heroic vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines

Name

Description

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Low-cost RDBMS with access to ISAM and FoxPro data structures

Primary database model

Time Series DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.28
Rank	#250	Overall
	#17	Time Series DBMS

Score	3.00
Rank	#89	Overall
	#44	Relational DBMS

Website

spotify.github.io/heroic/#!/index

www.sap.com/products/advantage-database-server.html

Technical documentation

spotify.github.io/heroic/#!/docs/overview

Developer

Spotify

Sybase, SAP

Initial release

2014

1993

License

Commercial or Open Source

Open Source info

Apache 2.0

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

via Elasticsearch

yes

SQL

Support of SQL

yes

APIs and other access methods

HQL (Heroic Query Language, a JSON-based language)
HTTP API

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Delphi
Perl
PHP

Server-side scripts info

Stored procedures

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Master-master replication info

CONFLICT Trigger to resolve replication conflicts
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

caching of (temporary) tables can be configured

User concepts info

Access control

fine grained access rights according to SQL-standard

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