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DBMS > Amazon CloudSearch vs. HarperDB vs. NebulaGraph vs. YottaDB

System Properties Comparison Amazon CloudSearch vs. HarperDB vs. NebulaGraph vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHarperDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A distributed, linear scalable, high perfomant Graph DBMSA fast and solid embedded Key-value store
Primary database modelSearch engineDocument storeGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.60
Rank#244  Overall
#38  Document stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.harperdb.iogithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
yottadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.harperdb.io/­docsdocs.nebula-graph.ioyottadb.com/­resources/­documentation
DeveloperAmazonHarperDBVesoft Inc.YottaDB, LLC
Initial release2012201720192001
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++C
Server operating systemshostedLinux
OS X
LinuxDocker
Linux
Data schemeyesdynamic schemaStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.no
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like query languageby using the Octo plugin
APIs and other access methodsHTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.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
.Net
C++
Go
Java
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1user defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infothe nodes on which a table resides can be definedCausal Clustering using Raft protocolyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesRole-based access controlUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Amazon CloudSearchHarperDBNebulaGraphYottaDB
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
Amazon CloudSearchHarperDBNebulaGraphYottaDB
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