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DBMS > HugeGraph vs. SQL.JS vs. SQLite vs. TiDB

System Properties Comparison HugeGraph vs. SQL.JS vs. SQLite vs. TiDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQLite  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSPort of SQLite to JavaScriptWidely used embeddable, in-process RDBMSTiDB 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 modelGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.57
Rank#248  Overall
#114  Relational DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Score4.94
Rank#72  Overall
#40  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
sql.js.orgwww.sqlite.orgpingcap.com
Technical documentationhugegraph.apache.org/­docssql.js.org/­documentation/­index.htmlwww.sqlite.org/­docs.htmldocs.pingcap.com/­tidb/­stable
DeveloperBaiduAlon Zakai infoenhancements implemented by othersDwayne Richard HippPingCAP, Inc.
Initial release2018201220002016
Current release0.93.45.3  (15 April 2024), April 20247.6.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoPublic DomainOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJavaScriptCGo, Rust
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)server-lessLinux
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyes infoSQL-92 is not fully supportedyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JavaScript APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesGroovy
Java
Python
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
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 proceduresasynchronous Gremlin script jobsnonono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesno infoexcept by serializing a db to a fileyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers, roles and permissionsnonoFine grained access rights according to SQL-standard
More information provided by the system vendor
HugeGraphSQL.JSSQLiteTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
HugeGraphSQL.JSSQLiteTiDB
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