DBMS > Amazon Neptune vs. Derby vs. Spark SQL
System Properties Comparison Amazon Neptune vs. Derby vs. Spark SQL
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Amazon Neptune Xexclude from comparison||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Fast, reliable graph database built for the cloud||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Graph DBMS|
|Relational DBMS||Relational DBMS|
|Developer||Amazon||Apache Software Foundation||Apache Software Foundation|
|Current release||10.16.1.1, May 2022||3.4.1 ( 2.13), June 2023|
|License Commercial or Open Source||commercial||Open Source Apache version 2||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||All OS with a Java VM||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||no||yes||SQL-like DML and DDL statements|
|APIs and other access methods||OpenCypher|
RDF 1.1 / SPARQL 1.1
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Java Stored Procedures||no|
|Partitioning methods Methods for storing different data on different nodes||none||none||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-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.||Source-replica replication||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in graphs||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes with encyption-at-rest||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Amazon Neptune||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB||Spark SQL|
|Recent citations in the news|
NoSQL databases | Web Security Academy
Introduction to Databases in Data Science
Amazon Neptune update: Machine learning, data science, and the ...
Looking under the hood at Amazon Neptune
provided by Google News
IBM Acquires StepZen to Help Enterprises Get More Business Value ...
Pentesting mit Legion, sqlmap, ZAP, OpenSCAP, Karkinos und ...
Data Management News for the Week of February 10; Updates from ...
Six free databases with commercial-quality features
Splice Machine 1.0 offers speedy, scalable SQL on Hadoop
provided by Google News
Horizontal Innovation in Data Science | by Pan Wu | Sep, 2023 ...
Stream Processing 101: What's Right for You?
10 Python Certifications You Should Get as a Beginner
spark3 spark-sql explain 命令的执行过程原创
provided by Google News
Senior Data Engineer - Graph Specialist
Graph Database Engineer
Mid-Level Database Administrator
Software Engineer -Big Data
DEV OPS ENGINEER
ArchivesSpace Technical Lead
Data Analyst (National Geographic)
Junior Cloud Architect
Entry Level Oracle Developer - 92
IT Sr Data Engineer Delivery
Data Engineering Manager
Share this page