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DBMS > DolphinDB vs. Postgres-XL vs. QuestDB vs. Sqrrl

System Properties Comparison DolphinDB vs. Postgres-XL vs. QuestDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuestDB  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance open source SQL database for time series dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.dolphindb.comwww.postgres-xl.orgquestdb.iosqrrl.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.postgres-xl.org/­documentationquestdb.io/­docs
DeveloperDolphinDB, IncQuestDB Technology IncAmazon infooriginally Sqrrl Data, Inc.
Initial release20182014 infosince 2012, originally named StormDB20142012
Current releasev2.00.4, January 202210 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMozilla public licenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava (Zero-GC), C++, RustJava
Server operating systemsLinux
Windows
Linux
macOS
Linux
macOS
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infodistributed, parallel query executionSQL with time-series extensionsno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioninghorizontal partitioning (by timestamps)Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyselectable 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 ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCACID for single-table writesAtomic 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.yesnoyes infothrough memory mapped files
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DolphinDBPostgres-XLQuestDBSqrrl
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