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DBMS > BigObject vs. Postgres-XL vs. TempoIQ vs. Yaacomo

System Properties Comparison BigObject vs. Postgres-XL vs. TempoIQ vs. Yaacomo

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for real-time computations and queriesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresScalable analytics DBMS for sensor data, provided as a service (SaaS)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebigobject.iowww.postgres-xl.orgtempoiq.com (offline)yaacomo.com
Technical documentationdocs.bigobject.iowww.postgres-xl.org/­documentation
DeveloperBigObject, Inc.TempoIQQ2WEB GmbH
Initial release20152014 infosince 2012, originally named StormDB20122009
Current release10 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoMozilla public licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infodistributed, parallel query executionnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresLuauser defined functionsno
Triggersnoyesyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple authentication-based access controlfine grained access rights according to SQL-standard

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