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

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

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataWide-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 DBMS
Time Series DBMS
Wide column storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series 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
Websitedruid.apache.orghbase.apache.orgproducts.office.com/­en-us/­accesssphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.orgmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxsphinxsearch.com/­docs
DeveloperMetamarkets Group and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSphinx Technologies Inc.
Initial release2012200819922001
Current release2.2.0, June 20191902 (16.0.11328.20222), March 20193.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open 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

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Implementation languageJavaJavaC++C++
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-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.nono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL support via Apache Calcite adapternoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)
APIs and other access methodsJSON over HTTPJava API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
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 proceduresnoyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle 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.noyes
User concepts infoAccess controlno infoavailable via extensionsAccess 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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DruidHBaseMicrosoft AccessSphinx
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