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DBMS > FeatureBase vs. Oracle NoSQL vs. Tigris

System Properties Comparison FeatureBase vs. Oracle NoSQL vs. Tigris

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonTigris  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 multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Document store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.featurebase.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.tigrisdata.com
Technical documentationdocs.featurebase.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.tigrisdata.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsOracleTigris Data, Inc.
Initial release201720112022
Current release2022, May 202224.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
macOS
Linux
Solaris SPARC/x86
Linux
macOS
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesoptionalyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languagesJava
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles

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