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DBMS > Brytlyt vs. HBase vs. Microsoft Access vs. Sphinx

System Properties Comparison Brytlyt vs. HBase vs. Microsoft Access vs. Sphinx

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSWide column storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#267  Overall
#123  Relational DBMS
Score49.11
Rank#22  Overall
#2  Wide column stores
Score119.86
Rank#10  Overall
#7  Relational DBMS
Score6.45
Rank#57  Overall
#6  Search engines
Websitewww.brytlyt.comhbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.com
Technical documentationhbase.apache.orgdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docs
DeveloperBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSphinx Technologies Inc.
Initial release2016200819922001
Current release0.9, October 20162.2.0, June 20191902 (16.0.11328.20222), March 20193.2.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engineno
Triggersyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes 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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003no

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