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DBMS > Amazon Neptune vs. Databricks vs. Interbase vs. LeanXcale

System Properties Comparison Amazon Neptune vs. Databricks vs. Interbase vs. LeanXcale

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonInterbase  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudThe 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.Light-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSKey-value store
Relational 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websiteaws.amazon.com/­neptunewww.databricks.comwww.embarcadero.com/­products/­interbasewww.leanxcale.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comdocs.embarcadero.com/­products/­interbase
DeveloperAmazonDatabricksEmbarcaderoLeanXcale
Initial release2017201319842015
Current releaseInterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedAndroid
iOS
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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 infoexport as XML data possible
Secondary indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLyesyes infothrough Apache Derby
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoInterbase procedure and trigger language
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
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.yesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon NeptuneDatabricksInterbaseLeanXcale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneDatabricksInterbaseLeanXcale
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