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DBMS > FeatureBase vs. Hyprcubd vs. InfinityDB vs. Tkrzw

System Properties Comparison FeatureBase vs. Hyprcubd vs. InfinityDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonInfinityDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 DBMSA Java embedded Key-Value Store which extends the Java Map interfaceA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
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
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.featurebase.comhyprcubd.com (offline)boilerbay.comdbmx.net/­tkrzw
Technical documentationdocs.featurebase.comboilerbay.com/­infinitydb/­manual
DeveloperMolecula and Pilosa Open Source ContributorsHyprcubd, Inc.Boiler Bay Inc.Mikio Hirabayashi
Initial release201720022020
Current release2022, May 20224.00.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoJavaC++
Server operating systemsLinux
macOS
hostedAll OS with a Java VMLinux
macOS
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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.nononono
Secondary indexesnonono infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLSQL queriesSQL-like query languagenono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (https)Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesJava
Python
JavaC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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 infousing specific database classes
User concepts infoAccess controltoken accessnono

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FeatureBaseHyprcubdInfinityDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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