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DBMS > Apache Drill vs. Linter vs. Qdrant vs. QuestDB

System Properties Comparison Apache Drill vs. Linter vs. Qdrant vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonLinter  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageRDBMS for high security requirementsA high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series data
Primary database modelDocument store
Relational DBMS
Relational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitedrill.apache.orglinter.rugithub.com/­qdrant/­qdrant
qdrant.tech
questdb.io
Technical documentationdrill.apache.org/­docsqdrant.tech/­documentationquestdb.io/­docs
DeveloperApache Software Foundationrelex.ruQdrantQuestDB Technology Inc
Initial release2012199020212014
Current release1.20.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++RustJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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 indexesnoyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnoSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC++C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infothrough memory mapped files
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
Apache DrillLinterQdrantQuestDB
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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More resources
Apache DrillLinterQdrantQuestDB
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
23 September 2019, Towards Data Science

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

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19 May 2015, Datanami

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СУБД «Линтер Бастион» прошла сертификацию ФСТЭК России по новым требованиям к системам управления ...
11 March 2024, ServerNews

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23 January 2024, TechCrunch

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Qdrant launches first vector database as a managed hybrid cloud
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26 January 2024, Datanami

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QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
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Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

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10 February 2022, hackernoon.com

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