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DBMS > QuestDB vs. RocksDB vs. SQream DB vs. TDSQL for MySQL

System Properties Comparison QuestDB vs. RocksDB vs. SQream DB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)a GPU-based, columnar RDBMS for big data analytics workloadsA 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 DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitequestdb.iorocksdb.orgsqream.comwww.tencentcloud.com/­products/­dcdb
Technical documentationquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wikidocs.sqream.comwww.tencentcloud.com/­document/­product/­1042
DeveloperQuestDB Technology IncFacebook, Inc.SQream TechnologiesTencent
Initial release2014201320172013
Current release8.11.4, April 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercialcommercial
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++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
macOS
Windows
LinuxLinuxhosted
Data schemeyes infoschema-free via InfluxDB Line Protocolschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyes
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.nonono
Secondary indexesnononoyes
SQL infoSupport of SQLSQL with time-series extensionsnoyesyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions in Pythonyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)horizontal partitioninghorizontal and vertical partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencyyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept
More information provided by the system vendor
QuestDBRocksDBSQream DBTDSQL 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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TimescaleDB vs. QuestDB: Performance benchmarks and overview
27 March 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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

More resources
QuestDBRocksDBSQream DBTDSQL for MySQL
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