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DBMS > Apache HugeGraph vs. StarRocks vs. Teradata Aster

System Properties Comparison Apache HugeGraph vs. StarRocks vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonStarRocks  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 DBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisPlatform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#285  Overall
#23  Graph DBMS
Score1.06
Rank#175  Overall
#79  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.starrocks.io
Technical documentationhugegraph.apache.org/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperBaiduThe Linux Foundation infosince Feb 2023Teradata
Initial release201820202005
Current release0.93.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsLinux
macOS
Unix
LinuxLinux
Data schemeyesyesFlexible 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 dateyesyesyes
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 Store
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
MySQL protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
JavaC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsR packages
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes 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-sparknoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers, roles and permissionsRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
Apache HugeGraphStarRocksTeradata Aster
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