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DBMS > QuestDB vs. Sphinx vs. SQLite

System Properties Comparison QuestDB vs. Sphinx vs. SQLite

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitequestdb.iosphinxsearch.comwww.sqlite.org
Technical documentationquestdb.io/­docssphinxsearch.com/­docswww.sqlite.org/­docs.html
DeveloperQuestDB Technology IncSphinx Technologies Inc.Dwayne Richard Hipp
Initial release201420012000
Current release3.5.1, February 20233.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoPublic Domain
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 languageJava (Zero-GC), C++, RustC++C
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less
Data schemeyes infoschema-free via InfluxDB Line Protocolyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyes infonot rigid because of 'dynamic typing' concept.
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 indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL with time-series extensionsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlnono
More information provided by the system vendor
QuestDBSphinxSQLite
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
News

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4 April 2024

TimescaleDB vs. QuestDB: Performance benchmarks and overview
27 March 2024

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

Related products and services
3rd partiesNavicat for SQLite is a powerful and comprehensive SQLite GUI that provides a complete set of functions for database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
QuestDBSphinxSQLite
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Recent citations in the news

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

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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4 September 2020, Search Engine Journal

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21 March 2024, hackernoon.com

Fully local retrieval-augmented generation, step by step
10 April 2024, InfoWorld

SQLite Vulnerability Could Put Thousands of Apps at Risk
22 March 2024, Dark Reading

Universal API Access from Postgres and SQLite
27 February 2024, oreilly.com

SQLite's new support for binary JSON is similar but different from a PostgreSQL feature • DEVCLASS
16 January 2024, DevClass

provided by Google News



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