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DBMS > FeatureBase vs. HugeGraph vs. Teradata Aster

System Properties Comparison FeatureBase vs. HugeGraph vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHugeGraph  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.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fast-speed and highly-scalable Graph DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitewww.featurebase.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.featurebase.comhugegraph.apache.org/­docs
DeveloperMolecula and Pilosa Open Source ContributorsBaiduTeradata
Initial release201720182005
Current release2022, May 20220.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsLinux
macOS
Linux
macOS
Unix
Linux
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 indexesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL queriesnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
Groovy
Java
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsR packages
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes 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-sparkyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
FeatureBaseHugeGraphTeradata Aster
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