DBMS > Coveo vs. DuckDB vs. QuestDB
System Properties Comparison Coveo vs. DuckDB vs. QuestDB
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|Editorial information provided by DB-Engines|
|Name||Coveo Xexclude from comparison||DuckDB Xexclude from comparison||QuestDB Xexclude from comparison|
|Description||AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development||An embeddable, in-process, column-oriented SQL OLAP RDBMS||A high performance open source SQL database for time series data|
|Primary database model||Search engine||Relational DBMS||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Coveo||QuestDB Technology Inc|
|Current release||0.9, September 2023|
|License Commercial or Open Source||commercial||Open Source MIT License||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++||Java (Zero-GC), C++, Rust|
|Server operating systems||hosted||server-less||Linux|
|Data scheme||hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration||yes||yes schema-free via InfluxDB Line Protocol|
|Typing predefined data types such as float or date||yes||yes||yes|
|SQL Support of SQL||no||yes||SQL with time-series extensions|
|APIs and other access methods||RESTful HTTP API||CLI Client|
InfluxDB Line Protocol (TCP/UDP)
PostgreSQL wire protocol
|Supported programming languages||C#|
C# 3rd party driver
Crystal 3rd party driver
Go 3rd party driver
Lisp 3rd party driver
Ruby 3rd party driver
Zig 3rd party driver
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||no||no||no|
|Partitioning methods Methods for storing different data on different nodes||yes||none||horizontal partitioning (by timestamps)|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||none||Source-replica replication with eventual consistency|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||ACID||ACID for single-table writes|
|Concurrency Support for concurrent manipulation of data||yes||yes, multi-version concurrency control (MVCC)||yes|
|Durability Support for making data persistent||yes||yes||yes|
|yes||yes through memory mapped files|
|User concepts Access control||granular access controls, API key management, content filters||no|
|More information provided by the system vendor|
|Specific characteristics||Relational model with native time series support Column-based storage and time partitioned...|
|Competitive advantages||High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...|
|Typical application scenarios||Financial tick data Industrial IoT Application Metrics Monitoring|
|Key customers||Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...|
|Licensing and pricing models||Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud|
QuestDB Release Week #4
Building a faster hash table for high performance SQL joins
Is all data time series data?
Solving duplicate data with performant deduplication
QuestDB + Hacktoberfest 2023: 10 Years of Hacking
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