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DBMS > Apache Pinot vs. LevelDB vs. mSQL vs. PostgreSQL vs. SiteWhere

System Properties Comparison Apache Pinot vs. LevelDB vs. mSQL vs. PostgreSQL vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLevelDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitepinot.apache.orggithub.com/­google/­leveldbhughestech.com.au/­products/­msqlwww.postgresql.orggithub.com/­sitewhere/­sitewhere
Technical documentationdocs.pinot.apache.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgresql.org/­docssitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsGoogleHughes TechnologiesPostgreSQL Global Development Group infowww.postgresql.org/­developerSiteWhere
Initial release2015201119941989 info1989: Postgres, 1996: PostgreSQL2010
Current release1.0.0, September 20231.23, February 20214.4, October 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercial infofree licenses can be providedOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CCJava
Server operating systemsAll OS with a Java JDK11 or higherIllumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infostandard with numerous extensionsno
APIs and other access methodsJDBCJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesGo
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache PinotLevelDBmSQL infoMini SQLPostgreSQLSiteWhere
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