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DBMS > FeatureBase vs. Hyprcubd vs. Ignite vs. Tkrzw vs. WakandaDB

System Properties Comparison FeatureBase vs. Hyprcubd vs. Ignite vs. Tkrzw vs. WakandaDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWakandaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Serverless Time Series DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Key-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.featurebase.comhyprcubd.com (offline)ignite.apache.orgdbmx.net/­tkrzwwakanda.github.io
Technical documentationdocs.featurebase.comapacheignite.readme.io/­docswakanda.github.io/­doc
DeveloperMolecula and Pilosa Open Source ContributorsHyprcubd, Inc.Apache Software FoundationMikio HirabayashiWakanda SAS
Initial release2017201520202012
Current release2022, May 2022Apache Ignite 2.60.9.3, August 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoC++, Java, .NetC++C++, JavaScript
Server operating systemsLinux
macOS
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesnoyes
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.nonoyesnono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL queriesSQL-like query languageANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (https)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesJava
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes
Triggersnonoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing specific database classesno
User concepts infoAccess controltoken accessSecurity Hooks for custom implementationsnoyes

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More resources
FeatureBaseHyprcubdIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWakandaDB
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