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DBMS > DolphinDB vs. InfluxDB vs. Rockset vs. Sqrrl vs. TerarkDB

System Properties Comparison DolphinDB vs. InfluxDB vs. Rockset vs. Sqrrl vs. TerarkDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonRockset  Xexclude from comparisonSqrrl  Xexclude from comparisonTerarkDB  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.DBMS for storing time series, events and metricsA scalable, reliable search and analytics service in the cloud, built on RocksDBAdaptable, secure NoSQL built on Apache AccumuloA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsRelational DBMSSpatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.dolphindb.comwww.influxdata.com/­products/­influxdb-overviewrockset.comsqrrl.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.influxdata.com/­influxdbdocs.rockset.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDolphinDB, IncRocksetAmazon infooriginally Sqrrl Data, Inc.ByteDance, originally Terark
Initial release20182013201920122016
Current releasev2.00.4, January 20222.7.6, April 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++JavaC++
Server operating systemsLinux
Windows
Linux
OS X infothrough Homebrew
hostedLinux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsdynamic typingyesno
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 supportedno
Secondary indexesyesnoall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageRead-only SQL queries, including JOINsnono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
JSON over UDP
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
C++ API
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
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
C++
Java
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoin enterprise version onlyAutomatic shardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyyesselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic updates per row, document, or graph entityno
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.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlAdministrators, Users, Groupssimple rights management via user accountsAccess 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)no
More information provided by the system vendor
DolphinDBInfluxDBRocksetSqrrlTerarkDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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