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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. GeoSpock vs. Hypertable

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. GeoSpock vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.com
Technical documentationdocs.pinot.apache.org
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsGeoSpockHypertable Inc.
Initial release201520162009
Current release1.0.0, September 202317032.0, September 20190.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, JavascriptC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesno
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.yesno
Secondary indexesyestemporal, categoricalrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languagenoANSI SQL for query only (using Presto)no
APIs and other access methodsJDBCLDAPJDBCC++ API
Thrift
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tableno

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More resources
Apache PinotAtos Standard Common RepositoryGeoSpockHypertable
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