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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Badger vs. NebulaGraph vs. Tkrzw

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Badger vs. NebulaGraph vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonNebulaGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed, linear scalable, high perfomant Graph DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Key-value storeGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dgraph-io/­badgergithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
dbmx.net/­tkrzw
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.nebula-graph.io
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsDGraph LabsVesoft Inc.Mikio Hirabayashi
Initial release20122016201720192020
Current release29.0.1, April 202417030.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++C++
Server operating systemsLinux
OS X
Unix
LinuxBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freeStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyesno
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.noyesnonono
Secondary indexesyesyesnoyes 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 SQLSQL for queryingnonoSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPBrowser 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 languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsGo.Net
C++
Go
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infousing specific database classes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationnoRole-based access controlno
More information provided by the system vendor
Apache DruidAtos Standard Common RepositoryBadgerNebulaGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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Apache DruidAtos Standard Common RepositoryBadgerNebulaGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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