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DBMS > Ehcache vs. Sadas Engine vs. Spark SQL vs. VelocityDB

System Properties Comparison Ehcache vs. Sadas Engine vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.ehcache.orgwww.sadasengine.comspark.apache.org/­sqlvelocitydb.com
Technical documentationwww.ehcache.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperTerracotta Inc, owned by Software AGSADAS s.r.l.Apache Software FoundationVelocityDB Inc
Initial release2009200620142011
Current release3.10.0, March 20228.03.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree trial version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC#
Server operating systemsAll OS with a Java VMAIX
Linux
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsJCacheJDBC
ODBC
Proprietary protocol
JDBC
ODBC
.Net
Supported programming languagesJava.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnononono
Triggersyes infoCache Event ListenersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnoBased on Windows Authentication

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EhcacheSadas EngineSpark SQLVelocityDB
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