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DBMS > atoti vs. Heroic vs. SAP Advantage Database Server vs. Spark SQL

System Properties Comparison atoti vs. Heroic vs. SAP Advantage Database Server vs. Spark SQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHeroic  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSpark SQL  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchLow-cost RDBMS with access to ISAM and FoxPro data structuresSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iogithub.com/­spotify/­heroicwww.sap.com/products/advantage-database-server.htmlspark.apache.org/­sql
Technical documentationdocs.atoti.iospotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamSpotifySybase, SAPApache Software Foundation
Initial release201419932014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infovia Elasticsearchyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesSQL-like DML and DDL statements
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesDelphi
Perl
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono infocaching of (temporary) tables can be configuredno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
atotiHeroicSAP Advantage Database Server infoformer name: Sybase ADSSpark SQL
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