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DBMS > Amazon SimpleDB vs. Databricks vs. Stardog vs. Transwarp StellarDB

System Properties Comparison Amazon SimpleDB vs. Databricks vs. Stardog vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabricks  Xexclude from comparisonStardog  Xexclude from comparisonTranswarp StellarDB  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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA distributed graph DBMS built for enterprise-level graph applications
Primary database modelKey-value storeDocument store
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteaws.amazon.com/­simpledbwww.databricks.comwww.stardog.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databricks.comdocs.stardog.com
DeveloperAmazonDatabricksStardog-UnionTranswarp
Initial release200720132010
Current release7.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedLinux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyes
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.yesno infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnowith Databricks SQLYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
OpenCypher
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesyes
More information provided by the system vendor
Amazon SimpleDBDatabricksStardogTranswarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBDatabricksStardogTranswarp StellarDB
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