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DBMS > Dolt vs. QuestDB vs. Sequoiadb vs. Spark SQL vs. Speedb

System Properties Comparison Dolt vs. QuestDB vs. Sequoiadb vs. Spark SQL vs. Speedb

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonQuestDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA high performance open source SQL database for time series dataNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
questdb.iowww.sequoiadb.comspark.apache.org/­sqlwww.speedb.io
Technical documentationdocs.dolthub.comquestdb.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDoltHub IncQuestDB Technology IncSequoiadb Ltd.Apache Software FoundationSpeedb
Initial release20182014201320142020
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava (Zero-GC), C++, RustC++ScalaC++
Server operating systemsLinux
macOS
Windows
Linux
macOS
Windows
LinuxLinux
OS X
Windows
Linux
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesno
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.nonononono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesSQL with time-series extensionsSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
HTTP REST
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoJavaScriptnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)Shardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication with eventual consistencySource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesDocument is locked during a transactionnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesnonoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupsimple password-based access controlnono
More information provided by the system vendor
DoltQuestDBSequoiadbSpark SQLSpeedb
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» 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
Open source - Speedb OSS is released under an Apache license and can be found on...
» 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
DoltQuestDBSequoiadbSpark SQLSpeedb
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