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DBMS > Hypertable vs. QuestDB vs. Tarantool

System Properties Comparison Hypertable vs. QuestDB vs. Tarantool

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonQuestDB  Xexclude from comparisonTarantool  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA high performance open source SQL database for time series dataIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelWide column storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#147  Overall
#13  Time Series DBMS
Score1.77
Rank#146  Overall
#27  Key-value stores
Websitequestdb.iowww.tarantool.io
Technical documentationquestdb.io/­docs/­introductionwww.tarantool.io/­en/­doc
DeveloperHypertable Inc.QuestDB LimitedVK
Initial release200920142008
Current release0.9.8.11, March 20162.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoBSD
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 languageC++JavaC and C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
BSD
Linux
macOS
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyesstring, double, decimal, uuid, integer, blob, boolean
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 indexesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsC++ API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Open binary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoLua, C and SQL stored procedures
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Hash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelConfigurable consistency for N replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
HypertableQuestDBTarantool
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

Listen to Your CPU - Full-table Scans Are Fast
30 November 2022

QuestDB 6.6.1 - Dynamic Commits
25 November 2022

SQL Extensions for Time Series Data in QuestDB - Part II
23 November 2022

QuestDB 6.5.5 Release
14 November 2022

QuestDB at Devoxx Belgium 2022
8 November 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HypertableQuestDBTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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