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DBMS > EventStoreDB vs. Kdb vs. QuestDB

System Properties Comparison EventStoreDB vs. Kdb vs. QuestDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonKdb  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.High performance Time Series DBMSA high performance open source SQL database for time series data
Primary database modelEvent StoreTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.eventstore.comkx.comquestdb.io
Technical documentationdevelopers.eventstore.comcode.kx.comquestdb.io/­docs
DeveloperEvent Store LimitedKx Systems, a division of First Derivatives plcQuestDB Technology Inc
Initial release20122000 infokdb was released 2000, kdb+ in 20032014
Current release21.2, February 20213.6, May 2018
License infoCommercial or Open SourceOpen Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava (Zero-GC), C++, Rust
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'no
SQL infoSupport of SQLSQL-like query language (q)SQL with time-series extensions
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 controlrights management via user accounts
More information provided by the system vendor
EventStoreDBKdbQuestDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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
EventStoreDBKdbQuestDB
Recent citations in the news

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3 December 2020, Developer News

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10 February 2022, hackernoon.com

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2 November 2022, FinanceFeeds

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