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DBMS > GigaSpaces vs. Hypertable vs. OpenTenBase vs. Spark SQL

System Properties Comparison GigaSpaces vs. Hypertable vs. OpenTenBase vs. Spark SQL

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSpark SQL  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 HadoopAn enterprise-level distributed HTAP open source database based on PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.gigaspaces.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
spark.apache.org/­sql
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.opentenbase.org
docs.opentenbase.org/­en
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGigaspaces TechnologiesHypertable Inc.OpenAtom Foundation, previously TencentApache Software Foundation
Initial release200020092014
Current release15.5, September 20200.9.8.11, March 20162.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSD-3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++Scala
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
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 metadatano
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesSQL-like DML and DDL statements
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C
Go
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
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 levelyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesno
User concepts infoAccess controlRole-based access controlnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
GigaSpacesHypertableOpenTenBaseSpark SQL
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