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DBMS > Cubrid vs. Databricks vs. FatDB vs. Graph Engine vs. Sphinx

System Properties Comparison Cubrid vs. Databricks vs. FatDB vs. Graph Engine vs. Sphinx

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSphinx  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Key-value store
Graph DBMS
Key-value store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comwww.graphengine.iosphinxsearch.com
Technical documentationcubrid.org/­manualsdocs.databricks.comwww.graphengine.io/­docs/­manualsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksFatCloudMicrosoftSphinx Technologies Inc.
Initial release20082013201220102001
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC#.NET and CC++
Server operating systemsLinux
Windows
hostedWindows.NETFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyeswith Databricks SQLno infoVia inetgration in SQL ServernoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
C#C#
C++
F#
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesyes infovia applicationsyesno
Triggersyesyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes 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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsno
More information provided by the system vendor
CubridDatabricksFatDBGraph Engine infoformer name: TrinitySphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CubridDatabricksFatDBGraph Engine infoformer name: TrinitySphinx
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