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DBMS > Ehcache vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SAP IQ vs. Splice Machine

System Properties Comparison Ehcache vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SAP IQ vs. Splice Machine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSplice Machine  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted Java cache with tiered storage optionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structuresColumnar RDBMS optimized for Big Data analyticsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS infocolumn-orientedRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ehcache.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/products/advantage-database-server.htmlwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlsplicemachine.com
Technical documentationwww.ehcache.org/­documentationdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_IQsplicemachine.com/­how-it-works
DeveloperTerracotta Inc, owned by Software AGMicrosoftSybase, SAPSAP, formerly SybaseSplice Machine
Initial release20092016199319942014
Current release3.10.0, March 202216.1 SPS04, April 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMhostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaC#
Java
PHP
Delphi
Perl
PHP
C
C#
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoTransact SQLyesyesyes infoJava
Triggersyes infoCache Event Listenersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding, horizontal partitioningnoneshared disk or shared nothing architectures with SAP IQ MultiplexerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServeryesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
SAP/Sybase Replication ServerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno infocaching of (temporary) tables can be configurednoyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
EhcacheMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSSAP IQ infoformer name: Sybase IQSplice Machine
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