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DBMS > Amazon SimpleDB vs. Databricks vs. Ehcache vs. OpenQM vs. Stardog

System Properties Comparison Amazon SimpleDB vs. Databricks vs. Ehcache vs. OpenQM vs. Stardog

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsQpenQM is a high-performance, self-tuning, multi-value DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value storeMultivalue DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­simpledbwww.databricks.comwww.ehcache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.stardog.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databricks.comwww.ehcache.org/­documentationdocs.stardog.com
DeveloperAmazonDatabricksTerracotta Inc, owned by Software AGRocket Software, originally Martin PhillipsStardog-Union
Initial release20072013200919932010
Current release3.10.0, March 20223.4-127.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPLv2, extended commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infowith some exceptionsschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyes
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.yesnoyesno infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnowith Databricks SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JCacheGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Python
R
Scala
Java.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoCache Event Listenersyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoby using Terracotta Serveryesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby using Terracotta ServeryesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDyes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
Amazon SimpleDBDatabricksEhcacheOpenQM infoalso called QMStardog
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBDatabricksEhcacheOpenQM infoalso called QMStardog
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