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DBMS > Apache Druid vs. mSQL vs. OpenEdge vs. Spark SQL vs. Sphinx

System Properties Comparison Apache Druid vs. mSQL vs. OpenEdge vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datamSQL (Mini SQL) is a simple and lightweight RDBMSApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitedruid.apache.orghughestech.com.au/­products/­msqlwww.progress.com/­openedgespark.apache.org/­sqlsphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsHughes TechnologiesProgress Software CorporationApache Software FoundationSphinx Technologies Inc.
Initial release20121994198420142001
Current release29.0.1, April 20244.4, October 2021OpenEdge 12.2, March 20203.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree licenses can be providedcommercialOpen 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

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Implementation languageJavaCScalaC++
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoclose to SQL 92SQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreSharding 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 enginesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUsers and groupsnono

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More resources
Apache DruidmSQL infoMini SQLOpenEdgeSpark SQLSphinx
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