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DBMS > HugeGraph vs. HyperSQL vs. Teradata Aster vs. TiDB

System Properties Comparison HugeGraph vs. HyperSQL vs. Teradata Aster vs. TiDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTiDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBPlatform for big data analytics on multistructured data sources and typesTiDB 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score4.25
Rank#74  Overall
#40  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgpingcap.com
Technical documentationhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.htmldocs.pingcap.com/­tidb/­stable
DeveloperBaiduTeradataPingCAP, Inc.
Initial release2018200120052016
Current release0.92.7.2, June 20238.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infobased on BSD licensecommercialOpen 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 languageJavaJavaGo, Rust
Server operating systemsLinux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.nonoyes infoin Aster File Storeno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesGroovy
Java
Python
All languages supporting JDBC/ODBC
Java
C
C#
C++
Java
Python
R
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 jobsJava, SQLR packagesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes infoSQL Map-Reduce Frameworkyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyes 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard
More information provided by the system vendor
HugeGraphHyperSQL infoalso known as HSQLDBTeradata AsterTiDB
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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HugeGraphHyperSQL infoalso known as HSQLDBTeradata AsterTiDB
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