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

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonGridGain  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.GridGain is an in-memory computing platform, built on Apache IgniteEnhanced 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 Database
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSDocument store
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
Score1.66
Rank#122  Overall
#21  Key-value stores
#59  Relational DBMS
Score2.45
Rank#99  Overall
#48  Relational DBMS
Score3.45
Rank#81  Overall
#14  Document stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.gridgain.comwww.percona.com/­software/­mysql-database/­percona-serverravendb.net
Technical documentationsupport.google.com/­gsawww.gridgain.com/­docs/­latestwww.percona.com/­downloads/­Percona-Server-LATESTravendb.net/­docs
DeveloperGoogleGridGain Systems, Inc.PerconaHibernating Rhinos
Initial release2002200720082010
Current releaseGridGain 8.5.18.0.18-9, December 20194.2, May 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoAGPL version 3, commercial license available
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 languageJava, C++, .NetC and C++C#
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (RQL)
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Ada
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes (replicated cache)Master-master replication
Master-slave replication
XtraDB Cluster
Multi-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
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.noyesyes
User concepts infoAccess controlUser authentication via various security protocolsSecurity Hooks for custom implementationsUsers with fine-grained authorization concept infono user groups or rolesAccess control on document level using the Authorization Bundle

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More resources
Google Search ApplianceGridGainPercona Server for MySQLRavenDB
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