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DBMS > FeatureBase vs. HEAVY.AI vs. STSdb vs. WakandaDB

System Properties Comparison FeatureBase vs. HEAVY.AI vs. STSdb vs. WakandaDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSKey-value storeObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.featurebase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.featurebase.comdocs.heavy.aiwakanda.github.io/­doc
DeveloperMolecula and Pilosa Open Source ContributorsHEAVY.AI, Inc.STS Soft SCWakanda SAS
Initial release2017201620112012
Current release2022, May 20225.10, January 20224.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
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 languageGoC++ and CUDAC#C++, JavaScript
Server operating systemsLinux
macOS
LinuxWindowsLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesnonono
SQL infoSupport of SQLSQL queriesyesnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
.NET Client APIRESTful HTTP API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Server-side scripts infoStored proceduresnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes

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More resources
FeatureBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdbWakandaDB
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