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DBMS > Bangdb vs. Hive vs. Pinecone

System Properties Comparison Bangdb vs. Hive vs. Pinecone

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHive  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector database
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitebangdb.comhive.apache.orgwww.pinecone.io
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overview
DeveloperSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookPinecone Systems, Inc
Initial release201220122019
Current releaseBangDB 2.0, October 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesString, Number, Boolean
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C++
Java
PHP
Python
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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 modeno
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles

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BangdbHivePinecone
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