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DBMS > Apache Pinot vs. Bangdb

System Properties Comparison Apache Pinot vs. Bangdb

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBangdb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyConverged and high performance database for device data, events, time series, document and graph
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#275  Overall
#128  Relational DBMS
Score0.06
Rank#353  Overall
#48  Document stores
#36  Graph DBMS
#35  Time Series DBMS
Websitepinot.apache.orgbangdb.com
Technical documentationdocs.pinot.apache.orgdocs.bangdb.com
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDB
Initial release20152012
Current release1.0.0, September 2023BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, events
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.no
Secondary indexesyes infosecondary, composite, nested, reverse, geospatial
SQL infoSupport of SQLSQL-like query languageSQL like support with command line tool
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
Supported programming languagesGo
Java
Python
C
C#
C++
Java
Python
Server-side scripts infoStored proceduresno
Triggersyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency control
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only mode
User concepts infoAccess controlyes (enterprise version only)

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More resources
Apache PinotBangdb
Recent citations in the news

Build a real-time analytics solution with Apache Pinot on AWS
6 August 2024, AWS Blog

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27 September 2024, SiliconANGLE News

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29 August 2024, Uber

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provided by Google News



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