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DBMS > Apache Pinot vs. Cachelot.io vs. Prometheus vs. TimesTen

System Properties Comparison Apache Pinot vs. Cachelot.io vs. Prometheus vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCachelot.io  Xexclude from comparisonPrometheus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIn-memory caching systemOpen-source Time Series DBMS and monitoring systemAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitepinot.apache.orgcachelot.ioprometheus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.pinot.apache.orgprometheus.io/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software Foundation and contributorsOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201520151998
Current release1.0.0, September 2023Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoSimplified BSD LicenseOpen Source infoApache 2.0commercial
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 languageJavaC++Go
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
Linux
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBCMemcached protocolRESTful HTTP/JSON APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
Apache PinotCachelot.ioPrometheusTimesTen
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