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DBMS > Amazon Neptune vs. BaseX vs. Databricks vs. Warp 10

System Properties Comparison Amazon Neptune vs. BaseX vs. Databricks vs. Warp 10

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Native XML DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­neptunebasex.orgwww.databricks.comwww.warp10.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.basex.orgdocs.databricks.comwww.warp10.io/­content/­02_Getting_started
DeveloperAmazonBaseX GmbHDatabricksSenX
Initial release2017200720132015
Current release11.2, August 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonowith Databricks SQLno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregatesyes infoWarpScript
Triggersnoyes infovia eventsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on HBase
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.noneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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)Users with fine-grained authorization concept on 4 levelsMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Amazon NeptuneBaseXDatabricksWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneBaseXDatabricksWarp 10
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