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DBMS > HugeGraph vs. Ingres vs. Newts vs. Quasardb vs. Teradata Aster

System Properties Comparison HugeGraph vs. Ingres vs. Newts vs. Quasardb vs. Teradata Aster

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata Aster  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 DBMSWell established RDBMSTime Series DBMS based on CassandraDistributed, high-performance timeseries databasePlatform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingresopennms.github.io/­newtsquasar.ai
Technical documentationhugegraph.apache.org/­docsdocs.actian.com/­ingresgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperBaiduActian CorporationOpenNMS GroupquasardbTeradata
Initial release20181974 infooriginally developed at University Berkely in early 1970s201420092005
Current release0.911.2, May 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageJavaCJavaC++
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenonoyes infoin Aster File Store
Secondary indexesyes infoalso supports composite index and range indexyesnoyes infowith tagsyes
SQL infoSupport of SQLnoyesnoSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Java API
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnonoR packages
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on CassandraSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseIngres Replicatorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonowith Hadoop integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient modeno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
HugeGraphIngresNewtsQuasardbTeradata Aster
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