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DBMS > FeatureBase vs. Google Cloud Bigtable vs. OpenMLDB

System Properties Comparison FeatureBase vs. Google Cloud Bigtable vs. OpenMLDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websitewww.featurebase.comcloud.google.com/­bigtableopenmldb.ai
Technical documentationdocs.featurebase.comcloud.google.com/­bigtable/­docsopenmldb.ai/­docs/­zh/­main
DeveloperMolecula and Pilosa Open Source ContributorsGoogle4 Paradigm Inc.
Initial release201720152020
Current release2022, May 20222024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, Scala
Server operating systemsLinux
macOS
hostedLinux
Data schemeyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnonoyes
SQL infoSupport of SQLSQL queriesnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
SQLAlchemy
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsno
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
FeatureBaseGoogle Cloud BigtableOpenMLDB
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