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DBMS > Google Cloud Spanner vs. NebulaGraph vs. Oracle Berkeley DB

System Properties Comparison Google Cloud Spanner vs. NebulaGraph vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonNebulaGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed, linear scalable, high perfomant Graph DBMSWidely used in-process key-value store
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#91  Overall
#50  Relational DBMS
Score1.66
Rank#134  Overall
#12  Graph DBMS
Score1.82
Rank#127  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitecloud.google.com/­spannergithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationcloud.google.com/­spanner/­docsdocs.nebula-graph.iodocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGoogleVesoft Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201720191994
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes 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.yes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
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 languagesGo
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Java
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Causal Clustering using Raft protocolSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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
Google Cloud SpannerNebulaGraphOracle Berkeley DB
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
Google Cloud SpannerNebulaGraphOracle Berkeley DB
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