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DBMS > Amazon Redshift vs. Apache Druid vs. FoundationDB vs. GigaSpaces vs. Oracle

System Properties Comparison Amazon Redshift vs. Apache Druid vs. FoundationDB vs. GigaSpaces vs. Oracle

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonFoundationDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOracle  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOrdered key-value store. Core features are complimented by layers.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWidely used RDBMS
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.orggithub.com/­apple/­foundationdbwww.gigaspaces.comwww.oracle.com/­database
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designapple.github.io/­foundationdbdocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­en/­database
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsFoundationDBGigaspaces TechnologiesOracle
Initial release20122012201320001980
Current release29.0.1, April 20246.2.28, November 202015.5, September 202023c, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Java, C++, .NetC and C++
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyes infoschema-less columns are supportedschema-free infosome layers support schemasschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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 infoXML can be used for describing objects metadatayes
Secondary indexesrestrictedyesnoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for queryingsupported in specific SQL layer onlySQL-99 for query and DML statementsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Java
Python
Scala
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoin SQL-layer onlyyesPL/SQL infoalso stored procedures in Java possible
Triggersnononoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID infoisolation level can be parameterized
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.yesnoyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftApache DruidFoundationDBGigaSpacesOracle
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