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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. Prometheus vs. TigerGraph

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. Prometheus vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonPrometheus  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpen-source Time Series DBMS and monitoring systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryprometheus.iowww.tigergraph.com
Technical documentationdocs.pinot.apache.orgprometheus.io/­docsdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsAtos Convergence Creators
Initial release2015201620152017
Current release1.0.0, September 20231703
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageJavaJavaGoC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalNumeric 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.yesno infoImport of XML data possibleno
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (GSQL)
APIs and other access methodsJDBCLDAPRESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
All languages with LDAP bindings.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationnoRole-based access control

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More resources
Apache PinotAtos Standard Common RepositoryPrometheusTigerGraph
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