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DBMS > Apache Druid vs. dBASE vs. GridGain vs. Infobright vs. Kinetica

System Properties Comparison Apache Druid vs. dBASE vs. GridGain vs. Infobright vs. Kinetica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisondBASE  Xexclude from comparisonGridGain  Xexclude from comparisonInfobright  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datadBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GridGain is an in-memory computing platform, built on Apache IgniteHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitedruid.apache.orgwww.dbase.comwww.gridgain.comignitetech.com/­softwarelibrary/­infobrightdbwww.kinetica.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.dbase.com/­support/­knowledgebasewww.gridgain.com/­docs/­index.htmldocs.kinetica.com
DeveloperApache Software Foundation and contributorsAsthon TateGridGain Systems, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Kinetica
Initial release20121979200720052012
Current release29.0.1, April 2024dBASE 2019, 2019GridGain 8.5.17.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetCC, C++
Server operating systemsLinux
OS X
Unix
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL for queryingnoANSI-99 for query and DML statements, subset of DDLyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
none infoThe IDE can access other DBMS or ODBC-sources.HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
dBase proprietary IDEC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.yes (compute grid and cache interceptors can be used instead)nouser defined functions
Triggersnonoyes (cache interceptors and events)noyes 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-basednoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes (replicated cache)Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rolesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users and roles on table level

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More resources
Apache DruiddBASEGridGainInfobrightKinetica
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