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DBMS > GigaSpaces vs. Hypertable vs. Microsoft Azure Table Storage vs. Percona Server for MySQL

System Properties Comparison GigaSpaces vs. Hypertable vs. Microsoft Azure Table Storage vs. Percona Server for MySQL

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source BigTable implementation based on distributed file systems such as HadoopA Wide Column Store for rapid development using massive semi-structured datasetsEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeWide column storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score2.06
Rank#118  Overall
#57  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­software/­mysql-database/­percona-server
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperGigaspaces TechnologiesHypertable Inc.MicrosoftPercona
Initial release2000200920122008
Current release15.5, September 20200.9.8.11, March 20168.0.36-28, 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C and C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.no infoXML can be used for describing objects metadatanoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonoyes
Triggersyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system levelyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACID
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.yesnoyes
User concepts infoAccess controlRole-based access controlnoAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or roles

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More resources
GigaSpacesHypertableMicrosoft Azure Table StoragePercona Server for MySQL
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