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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Databricks vs. HyperSQL vs. SiriDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Databricks vs. HyperSQL vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSiriDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe 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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comhsqldb.orgsiridb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comhsqldb.org/­web/­hsqlDocsFrame.htmldocs.siridb.com
DeveloperAmazonAtos Convergence CreatorsDatabricksCesbit
Initial release20172016201320012017
Current release17032.7.2, June 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infobased on BSD licenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedLinuxhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes infoNumeric data
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.noyesyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonowith Databricks SQLyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPJDBC
ODBC
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsPython
R
Scala
All languages supporting JDBC/ODBC
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesJava, SQLno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationfine grained access rights according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
Amazon NeptuneAtos Standard Common RepositoryDatabricksHyperSQL infoalso known as HSQLDBSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneAtos Standard Common RepositoryDatabricksHyperSQL infoalso known as HSQLDBSiriDB
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