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DBMS > BigObject vs. Coveo vs. eXtremeDB vs. Postgres-XL

System Properties Comparison BigObject vs. Coveo vs. eXtremeDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCoveo  Xexclude from comparisoneXtremeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNatively in-memory DBMS with options for persistency, high-availability and clusteringBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitebigobject.iowww.coveo.comwww.mcobject.comwww.postgres-xl.org
Technical documentationdocs.bigobject.iodocs.coveo.comwww.mcobject.com/­docs/­extremedb.htmwww.postgres-xl.org/­documentation
DeveloperBigObject, Inc.CoveoMcObject
Initial release2015201220012014 infosince 2012, originally named StormDB
Current release8.2, 202110 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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.nonono infosupport of XML interfaces availableyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith the option: eXtremeSQLyes infodistributed, parallel query execution
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresLuanoyesuser defined functions
Triggersnoyesyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning / shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesyesno
User concepts infoAccess controlnogranular access controls, API key management, content filtersfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectCoveoeXtremeDBPostgres-XL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BigObjectCoveoeXtremeDBPostgres-XL
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