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DBMS > Google BigQuery vs. NebulaGraph vs. TiDB

System Properties Comparison Google BigQuery vs. NebulaGraph vs. TiDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNebulaGraph  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed, linear scalable, high perfomant Graph DBMSTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score2.12
Rank#125  Overall
#10  Graph DBMS
Score4.94
Rank#72  Overall
#40  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
pingcap.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.nebula-graph.iodocs.pingcap.com/­tidb/­stable
DeveloperGoogleVesoft Inc.PingCAP, Inc.
Initial release201020192016
Current release7.6.0, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++Go, Rust
Server operating systemshostedLinuxLinux
Data schemeyesStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes 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 SQLyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIBrowser 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
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocolUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access controlFine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryNebulaGraphTiDB
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
TiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Google BigQueryNebulaGraphTiDB
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