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DBMS > HugeGraph vs. searchxml vs. Teradata vs. Tigris

System Properties Comparison HugeGraph vs. searchxml vs. Teradata vs. Tigris

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonsearchxml  Xexclude from comparisonTeradata  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for structured and unstructured content wrapped with an application serverA hybrid cloud data analytics software platform (Teradata Vantage)A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelGraph DBMSNative XML DBMS
Search engine
Relational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.searchxml.net/­category/­productswww.teradata.comwww.tigrisdata.com
Technical documentationhugegraph.apache.org/­docswww.searchxml.net/­support/­handoutsdocs.teradata.comwww.tigrisdata.com/­docs
DeveloperBaiduinformationpartners gmbhTeradataTigris Data, Inc.
Initial release2018201519842022
Current release0.91.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
macOS
Unix
Windowshosted
Linux
Linux
macOS
Windows
Data schemeyesschema-freeyesyes
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.noyesyesno
Secondary indexesyes infoalso supports composite index and range indexyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
WebDAV
XQuery
XSLT
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C++ infomost other programming languages supported via APIsC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoon the application serveryes infoUDFs, stored procedures, table functions in parallelno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
HugeGraphsearchxmlTeradataTigris
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