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DBMS > Apache Pinot vs. Hyprcubd vs. Interbase vs. Kinetica

System Properties Comparison Apache Pinot vs. Hyprcubd vs. Interbase vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHyprcubd  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyServerless Time Series DBMSLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitepinot.apache.orghyprcubd.com (offline)www.embarcadero.com/­products/­interbasewww.kinetica.com
Technical documentationdocs.pinot.apache.orgdocs.embarcadero.com/­products/­interbasedocs.kinetica.com
DeveloperApache Software Foundation and contributorsHyprcubd, Inc.EmbarcaderoKinetica
Initial release201519842012
Current release1.0.0, September 2023InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC, C++
Server operating systemsAll OS with a Java JDK11 or higherhostedAndroid
iOS
Linux
OS X
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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 possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJDBCgRPC (https)ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functions
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datanoyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
Apache PinotHyprcubdInterbaseKinetica
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