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DBMS > Hive vs. Pinecone vs. Tigris

System Properties Comparison Hive vs. Pinecone vs. Tigris

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPinecone  Xexclude from comparisonTigris  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector databaseA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSVector DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitehive.apache.orgwww.pinecone.iowww.tigrisdata.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overviewwww.tigrisdata.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookPinecone Systems, IncTigris Data, Inc.
Initial release201220192022
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
PythonGo
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
HivePineconeTigris
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