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DBMS > Altibase vs. Amazon Redshift vs. Apache Impala vs. Oracle vs. Snowflake

System Properties Comparison Altibase vs. Amazon Redshift vs. Apache Impala vs. Oracle vs. Snowflake

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonOracle  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopWidely used RDBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitealtibase.comaws.amazon.com/­redshiftimpala.apache.orgwww.oracle.com/­databasewww.snowflake.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmldocs.oracle.com/­en/­databasedocs.snowflake.net/­manuals/­index.html
DeveloperAltibaseAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaOracleSnowflake Computing Inc.
Initial release19992012201319802014
Current releasev7.3, 2023, August 20234.1.0, June 202223c, September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C and C++
Server operating systemsAIX
HP-UX
Linux
hostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesyesyesyes infoSchemaless in JSON and XML columnsyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nononoyesyes
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLANSI SQL-92yes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCC
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducePL/SQL infoalso stored procedures in Java possibleuser defined functions
Triggersyesnonoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factorMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoisolation level can be parameterizedACID
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.yesyesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
AltibaseAmazon RedshiftApache ImpalaOracleSnowflake
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