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DBMS > FeatureBase vs. Interbase vs. LeanXcale

System Properties Comparison FeatureBase vs. Interbase vs. LeanXcale

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonInterbase  Xexclude from comparisonLeanXcale  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.Light-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#316  Overall
#141  Relational DBMS
Score6.14
Rank#71  Overall
#40  Relational DBMS
Score0.41
Rank#322  Overall
#45  Key-value stores
#143  Relational DBMS
Websitewww.molecula.comwww.embarcadero.com/­products/­interbasewww.leanxcale.com
Technical documentationdocs.molecula.clouddocs.embarcadero.com/­products/­interbase
DeveloperMolecula and Pilosa Open Source ContributorsEmbarcaderoLeanXcale
Initial release201719842015
Current release2022, May 2022InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
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 languageGoC
Server operating systemsLinux
macOS
Android
iOS
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono infoexport as XML data possible
Secondary indexesnoyes
SQL infoSupport of SQLSQL queriesyesyes infothrough Apache Derby
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJava
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger language
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
FeatureBaseInterbaseLeanXcale
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FeatureBaseInterbaseLeanXcale
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