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DBMS > ArcadeDB vs. Google Cloud Datastore vs. NebulaGraph vs. STSdb

System Properties Comparison ArcadeDB vs. Google Cloud Datastore vs. NebulaGraph vs. STSdb

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed, linear scalable, high perfomant Graph DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitearcadedb.comcloud.google.com/­datastoregithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
github.com/­STSSoft/­STSdb4
Technical documentationdocs.arcadedb.comcloud.google.com/­datastore/­docsdocs.nebula-graph.io
DeveloperArcade DataGoogleVesoft Inc.STS Soft SC
Initial release2021200820192011
Current releaseSeptember 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VMhostedLinuxWindows
Data schemeschema-freeschema-freeStrong typed schemayes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyes 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 SQLSQL-like query language, no joinsSQL-like query language (GQL)SQL-like query languageno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
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
.NET Client API
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsno
TriggersCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlno
More information provided by the system vendor
ArcadeDBGoogle Cloud DatastoreNebulaGraphSTSdb
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
ArcadeDBGoogle Cloud DatastoreNebulaGraphSTSdb
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