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DBMS > Google Search Appliance vs. Percona Server for MySQL vs. RavenDB vs. Trafodion

System Properties Comparison Google Search Appliance vs. Percona Server for MySQL vs. RavenDB vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRavenDB  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#91  Overall
#10  Search engines
Score2.45
Rank#99  Overall
#48  Relational DBMS
Score3.45
Rank#81  Overall
#14  Document stores
Score0.42
Rank#218  Overall
#104  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mysql-database/­percona-serverravendb.nettrafodion.apache.org
Technical documentationsupport.google.com/­gsawww.percona.com/­downloads/­Percona-Server-LATESTravendb.net/­docstrafodion.apache.org
DeveloperGooglePerconaHibernating RhinosApache Software Foundation, originally developed by HP
Initial release2002200820102014
Current release8.0.18-9, December 20194.2, May 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
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 languageC and C++C#C++, Java
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)yes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyesJava Stored Procedures
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
XtraDB Cluster
Multi-master replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMapReduce functions can be defined in Linqyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUser authentication via various security protocolsUsers with fine-grained authorization concept infono user groups or rolesAccess control on document level using the Authorization Bundlefine grained access rights according to SQL-standard

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More resources
Google Search AppliancePercona Server for MySQLRavenDBTrafodion
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