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

DBMS > Apache Hive vs. LMDB vs. Valentina Server

System Properties Comparison Apache Hive vs. LMDB vs. Valentina Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonLMDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high performant, light-weight, embedded key-value database libraryObject-relational database and reports server
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score1.75
Rank#129  Overall
#20  Key-value stores
Score0.23
Rank#302  Overall
#136  Relational DBMS
Websitehive.apache.orgwww.symas.com/­symas-embedded-database-lmdbwww.valentina-db.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.lmdb.tech/­docvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoinitially developed by FacebookSymasParadigma Software
Initial release201220111999
Current release3.1.3, April 20220.9.32, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMLinux
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Thrift
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes
Triggersnonoyes
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 MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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 HiveLMDBValentina Server
Recent citations in the news

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

Hive Tutorial: Working with Data in Hadoop
2 April 2025, Simplilearn.com

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

provided by Google News

Pandas Can’t Handle This: How ArcticDB Powers Massive Datasets
12 February 2025, Towards Data Science

The Lightning Memory-mapped Database
2 March 2016, infoq.com

Threat Actors Exploit Multiple Vulnerabilities in Ivanti Connect Secure and Policy Secure Gateways
29 February 2024, CISA (.gov)

Akamai launches managed database service
25 April 2022, Blocks and Files

Introducing Quicksilver: Configuration Distribution at Internet Scale
30 March 2020, The Cloudflare Blog

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source
31 March 2025, H2S Media

provided by Google News



Share this page

Featured Products

SingleStore logo

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

Milvus logo

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

RaimaDB logo

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

Present your product here