DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Hive vs. Apache Jena - TDB vs. SvectorDB

System Properties Comparison Apache Hive vs. Apache Jena - TDB vs. SvectorDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonSvectorDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelRelational DBMSRDF storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score2.44
Rank#101  Overall
#4  RDF stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitehive.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlsvectordb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homejena.apache.org/­documentation/­tdb/­index.htmlwww.svectordb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software Foundation infooriginally developed by HP LabsSvectorDB
Initial release201220002023
Current release3.1.3, April 20224.9.0, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License, Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMserver-less
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesstring, double, vector
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesC++
Java
PHP
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
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 infoTDB Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess control via Jena Security

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache HiveApache Jena - TDBSvectorDB
Recent citations in the news

Design patterns for implementing Hive Metastore for Amazon EMR on EKS
28 February 2025, Amazon Web Services

What Is Apache Iceberg?
18 December 2024, IBM

Pinot for Low-Latency Offline Table Analytics
29 August 2024, Uber

Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster
14 March 2025, Towards Data Science

Presto SQL + S3 Data + Superset = Data Lake
25 October 2024, HackerNoon

provided by Google News

Fig. 4. Implementation: LSane relies on Apache Flink for stream...
1 November 2024, ResearchGate

Sparql Secrets In Jena-Fuseki
24 July 2022, Data Science Central

A Semantic Knowledge Graph of European Mountain Value Chains - Scientific Data
7 September 2024, Nature

Introducing Graph Store Protocol support for Amazon Neptune
2 August 2021, Amazon Web Services (AWS)

6 Java Libraries for Machine Learning
2 October 2023, Analytics India Magazine

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here