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DBMS > Apache Druid vs. HarperDB vs. Interbase vs. Kinetica

System Properties Comparison Apache Druid vs. HarperDB vs. Interbase vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Light-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitedruid.apache.orgwww.harperdb.iowww.embarcadero.com/­products/­interbasewww.kinetica.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbasedocs.kinetica.com
DeveloperApache Software Foundation and contributorsHarperDBEmbarcaderoKinetica
Initial release2012201719842012
Current release29.0.1, April 20243.1, August 2021InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availablecommercialcommercial
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 languageJavaNode.jsCC, C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Android
iOS
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supporteddynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like data manipulation statementsyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoInterbase procedure and trigger languageuser defined functions
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
Apache DruidHarperDBInterbaseKinetica
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