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DBMS > Amazon Neptune vs. Databend vs. SAP SQL Anywhere vs. StarRocks

System Properties Comparison Amazon Neptune vs. Databend vs. SAP SQL Anywhere vs. StarRocks

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatabend  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­datafuselabs/­databend
www.databend.com
www.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.starrocks.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databend.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperAmazonDatabend LabsSAP infoformerly SybaseThe Linux Foundation infosince Feb 2023
Initial release2017202119922020
Current release1.0.59, April 202317, July 20152.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++, Java
Server operating systemshostedhosted
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
JDBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or Perluser defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenonehorizontal partitioning (by range and hash)
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.noneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
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.yesno
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, user rolesfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Amazon NeptuneDatabendSAP SQL Anywhere infoformerly called Adaptive Server AnywhereStarRocks
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