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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. Bangdb vs. NebulaGraph

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. Bangdb vs. NebulaGraph

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonNebulaGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksConverged and high performance database for device data, events, time series, document and graphA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.23
Rank#116  Overall
#10  Graph DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationkylin.apache.org/­docsdocs.bangdb.comdocs.nebula-graph.io
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsSachin Sinha, BangDBVesoft Inc.
Initial release2015201620122019
Current release3.1.0, July 20201703BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD 3Open Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++C++
Server operating systemsLinuxLinuxLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeStrong typed schema
Typing infopredefined data types such as float or dateyesoptionalyes: string, long, double, int, geospatial, stream, eventsyes
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.noyesnono
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialyes 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.
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL like support with command line toolSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPProprietary protocol
RESTful HTTP 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
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyesyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Causal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, run db with in-memory only modeyes
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)Role-based access control
More information provided by the system vendor
Apache KylinAtos Standard Common RepositoryBangdbNebulaGraph
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
Apache KylinAtos Standard Common RepositoryBangdbNebulaGraph
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