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

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonHBase  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.Wide-column store based on Apache Hadoop and on concepts of BigTableEnhanced 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 engineWide column storeRelational 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
Score53.34
Rank#21  Overall
#2  Wide column stores
Score2.45
Rank#99  Overall
#48  Relational DBMS
Score3.45
Rank#81  Overall
#14  Document stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlhbase.apache.orgwww.percona.com/­software/­mysql-database/­percona-serverravendb.net
Technical documentationsupport.google.com/­gsahbase.apache.orgwww.percona.com/­downloads/­Percona-Server-LATESTravendb.net/­docs
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetPerconaHibernating Rhinos
Initial release2002200820082010
Current release2.2.0, June 20198.0.18-9, December 20194.2, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open 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 languageJavaC and C++C#
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesno
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (RQL)
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
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 infoCoprocessors in Javayesyes
Triggersyesyesyes
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
Master-master replication
Master-slave replication
XtraDB Cluster
Multi-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID, 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 protocolsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers 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 ApplianceHBasePercona Server for MySQLRavenDB
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