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DBMS > DolphinDB vs. QuestDB vs. Rockset vs. Sqrrl

System Properties Comparison DolphinDB vs. QuestDB vs. Rockset vs. Sqrrl

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A high performance open source SQL database for time series dataA scalable, reliable search and analytics service in the cloud, built on RocksDBAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websitewww.dolphindb.comquestdb.iorockset.comsqrrl.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlquestdb.io/­docsdocs.rockset.com
DeveloperDolphinDB, IncQuestDB Technology IncRocksetAmazon infooriginally Sqrrl Data, Inc.
Initial release2018201420192012
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java (Zero-GC), C++, RustC++Java
Server operating systemsLinux
Windows
Linux
macOS
Windows
hostedLinux
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supported
Secondary indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)Automatic shardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID for single-table writesnoAtomic updates per row, document, or graph entity
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.yesyes infothrough memory mapped files
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users and organizations can be defined via Rockset consoleCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DolphinDBQuestDBRocksetSqrrl
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
DolphinDBQuestDBRocksetSqrrl
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