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DBMS > BigObject vs. Cubrid vs. IBM Db2 Event Store vs. Prometheus vs. Sphinx

System Properties Comparison BigObject vs. Cubrid vs. IBM Db2 Event Store vs. Prometheus vs. Sphinx

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCubrid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPrometheus  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed Event Store optimized for Internet of Things use casesOpen-source Time Series DBMS and monitoring systemOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebigobject.iocubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­db2-event-storeprometheus.iosphinxsearch.com
Technical documentationdocs.bigobject.iocubrid.org/­manualswww.ibm.com/­docs/­en/­db2-event-storeprometheus.io/­docssphinxsearch.com/­docs
DeveloperBigObject, Inc.CUBRID Corporation, CUBRID FoundationIBMSphinx Technologies Inc.
Initial release20152008201720152001
Current release11.0, January 20212.03.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC and C++GoC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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.nononono infoImport of XML data possible
Secondary indexesyesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough the embedded Spark runtimenoSQL-like query language (SphinxQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresLuaJava Stored Proceduresyesnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationActive-active shard replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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BigObjectCubridIBM Db2 Event StorePrometheusSphinx
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