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DBMS > Hive vs. Immudb vs. Kinetica vs. Quasardb vs. QuestDB

System Properties Comparison Hive vs. Immudb vs. Kinetica vs. Quasardb vs. QuestDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitehive.apache.orggithub.com/­codenotary/­immudb
immudb.io
www.kinetica.comquasar.aiquestdb.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.immudb.iodocs.kinetica.comdoc.quasar.ai/­masterquestdb.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookCodenotaryKineticaquasardbQuestDB Technology Inc
Initial release20122020201220092014
Current release3.1.3, April 20221.2.3, April 20227.1, August 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC, C++C++Java (Zero-GC), C++, Rust
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like syntaxSQL-like DML and DDL statementsSQL-like query languageSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
Thrift
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnono
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
HiveImmudbKineticaQuasardbQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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