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DBMS > QuestDB vs. Sphinx vs. Splunk vs. TDSQL for MySQL

System Properties Comparison QuestDB vs. Sphinx vs. Splunk vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonTDSQL for MySQL  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 databasesAnalytics Platform for Big DataA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitequestdb.iosphinxsearch.comwww.splunk.comwww.tencentcloud.com/­products/­dcdb
Technical documentationquestdb.io/­docssphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunkwww.tencentcloud.com/­document/­product/­1042
DeveloperQuestDB Technology IncSphinx Technologies Inc.Splunk Inc.Tencent
Initial release2014200120032013
Current release3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustC++
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesno
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL with time-series extensionsSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolHTTP RESTJDBC
ODBC
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
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportedShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencynoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesnono
User concepts infoAccess controlnoAccess rights for users and rolesUsers with fine-grained authorization concept
More information provided by the system vendor
QuestDBSphinxSplunkTDSQL for MySQL
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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More resources
QuestDBSphinxSplunkTDSQL for MySQL
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