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DBMS > FeatureBase vs. Graph Engine vs. OpenMLDB

System Properties Comparison FeatureBase vs. Graph Engine vs. OpenMLDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenMLDB  Xexclude from comparison
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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.featurebase.comwww.graphengine.ioopenmldb.ai
Technical documentationdocs.featurebase.comwww.graphengine.io/­docs/­manualopenmldb.ai/­docs/­zh/­main
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoft4 Paradigm Inc.
Initial release201720102020
Current release2022, May 20222024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo.NET and CC++, Java, Scala
Server operating systemsLinux
macOS
.NETLinux
Data schemeyesyesFixed schema
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLSQL queriesnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIJDBC
SQLAlchemy
Supported programming languagesJava
Python
C#
C++
F#
Visual Basic
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
FeatureBaseGraph Engine infoformer name: TrinityOpenMLDB
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