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DBMS > Amazon Neptune vs. Harper vs. SurrealDB

System Properties Comparison Amazon Neptune vs. Harper vs. SurrealDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHarper  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHarper fuses database, cache, messaging, and application functions into a single process, delivering web performance, simplicity, and resilience unmatched by multi-technology stacks.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Document storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score0.56
Rank#240  Overall
#39  Document stores
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websiteaws.amazon.com/­neptunewww.harpersystems.devsurrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.harperdb.io/­docssurrealdb.com/­docs
DeveloperAmazonHarperDBSurrealDB Ltd
Initial release201720172022
Current release3.1, August 2021v1.5.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsRust
Server operating systemshostedLinux
OS X
Linux
macOS
Windows
Data schemeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data 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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a cluster
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.yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesyes, based on authentication and database rules

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More resources
Amazon NeptuneHarperSurrealDB
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