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DBMS > Alibaba Cloud Log Service vs. Ingres vs. Oracle vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Alibaba Cloud Log Service vs. Ingres vs. Oracle vs. Percona Server for MongoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonIngres  Xexclude from comparisonOracle  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.Well established RDBMSWidely used RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument 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
Score0.43
Rank#265  Overall
#18  Search engines
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­log-servicewww.actian.com/­databases/­ingreswww.oracle.com/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­slsdocs.actian.com/­ingresdocs.oracle.com/­en/­databasedocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaCloud Inc.Actian CorporationOraclePerconaApache Software Foundation
Initial release20161974 infooriginally developed at University Berkely in early 1970s198020152014
Current release11.2, May 202223c, September 20233.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoGPL Version 2Open Source infoApache 2.0
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 languageCC and C++C++Scala
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsschema-freeyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingyesyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesPL/SQL infoalso stored procedures in Java possibleJavaScriptno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasIngres ReplicatorMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono infocan be realized in PL/SQLyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoisolation level can be parameterizednono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infovia In-Memory Engineno
User concepts infoAccess controlAlibaba Cloud user access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
Alibaba Cloud Log ServiceIngresOraclePercona Server for MongoDBSpark SQL
Specific characteristicsA real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
Competitive advantages* Ease of use: Completes data collections from more than 30 data sources within five...
» more
Typical application scenarios* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Key customers* Alibaba & Ant-Finance:he infrastructure service for the Corp * Over 22k Subscriber...
» more
Licensing and pricing modelsPay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more

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More resources
Alibaba Cloud Log ServiceIngresOraclePercona Server for MongoDBSpark SQL
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