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DBMS > HugeGraph vs. ObjectBox vs. searchxml vs. TDengine vs. Teradata

System Properties Comparison HugeGraph vs. ObjectBox vs. searchxml vs. TDengine vs. Teradata

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonObjectBox  Xexclude from comparisonsearchxml  Xexclude from comparisonTDengine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSExtremely fast embedded database for small devices, IoT and MobileDBMS for structured and unstructured content wrapped with an application serverTime Series DBMS and big data platformA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSObject oriented DBMSNative XML DBMS
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
objectbox.iowww.searchxml.net/­category/­productsgithub.com/­taosdata/­TDengine
tdengine.com
www.teradata.com
Technical documentationhugegraph.apache.org/­docsdocs.objectbox.iowww.searchxml.net/­support/­handoutsdocs.tdengine.comdocs.teradata.com
DeveloperBaiduObjectBox Limitedinformationpartners gmbhTDEngine, previously Taos DataTeradata
Initial release20182017201520191984
Current release0.91.03.0, August 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++C
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
macOS
Windows
WindowsLinux
Windows
hosted
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnoyes
Secondary indexesyes infoalso supports composite index and range indexyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applicationsyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native APIRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infomost other programming languages supported via APIsC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes infoon the application servernoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseonline/offline synchronization between client and serveryes infosychronisation to multiple collectionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers, roles and permissionsyesDomain, group and role-based access control at the document level and for application servicesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HugeGraphObjectBoxsearchxmlTDengineTeradata
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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