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DBMS > Apache Druid vs. Google BigQuery vs. Linter vs. Nebula Graph

System Properties Comparison Apache Druid vs. Google BigQuery vs. Linter vs. Nebula Graph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonNebula Graph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLarge scale data warehouse service with append-only tablesRDBMS for high security requirementsA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#105  Overall
#54  Relational DBMS
#6  Time Series DBMS
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score0.11
Rank#309  Overall
#142  Relational DBMS
Score1.10
Rank#169  Overall
#15  Graph DBMS
Websitedruid.apache.orgcloud.google.com/­bigquerylinter.ru/­engithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docsdocs.nebula-graph.io
DeveloperApache Software Foundation and contributorsGooglerelex.ru/­enVesoft Inc.
Initial release2012201019902019
Current release0.22.1, December 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyesStrong typed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyesyes 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 queryingyesyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Apache DruidGoogle BigQueryLinterNebula Graph
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph 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 customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more

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More resources
Apache DruidGoogle BigQueryLinterNebula Graph
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