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DBMS > Hive vs. LMDB vs. QuestDB

System Properties Comparison Hive vs. LMDB vs. QuestDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLMDB  Xexclude from comparisonQuestDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high performant, light-weight, embedded key-value database libraryA high performance open source SQL database for time series data
Primary database modelRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.58
Rank#17  Overall
#11  Relational DBMS
Score2.32
Rank#118  Overall
#22  Key-value stores
Score1.24
Rank#155  Overall
#12  Time Series DBMS
Websitehive.apache.orgwww.symas.com/­symas-embedded-database-lmdbquestdb.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docs/­introduction
DeveloperApache Software Foundation infoinitially developed by FacebookSymasQuestDB Limited
Initial release201220112014
Current release3.1.2, August 20190.9.29, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC++
Java
PHP
Python
CC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneConfigurable consistency for N replicas
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesno
More information provided by the system vendor
HiveLMDBQuestDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
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Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
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Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
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Licensing and pricing modelsApache 2.0.
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HiveLMDBQuestDB
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