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DBMS > FeatureBase vs. InfinityDB vs. Oracle Rdb vs. Valentina Server

System Properties Comparison FeatureBase vs. InfinityDB vs. Oracle Rdb vs. Valentina Server

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonValentina Server  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 Java embedded Key-Value Store which extends the Java Map interfaceObject-relational database and reports server
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.featurebase.comboilerbay.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.valentina-db.net
Technical documentationdocs.featurebase.comboilerbay.com/­infinitydb/­manualwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMolecula and Pilosa Open Source ContributorsBoiler Bay Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Paradigma Software
Initial release2017200219841999
Current release2022, May 20224.07.4.1.1, 20215.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsLinux
macOS
All OS with a Java VMHP Open VMSLinux
OS X
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL queriesnoyesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ODBC
Supported programming languagesJava
Python
Java.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoOptimistic locking for transactions; no isolation for bulk loadsyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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FeatureBaseInfinityDBOracle RdbValentina Server
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