DBMS > Firebolt vs. QuestDB
System Properties Comparison Firebolt vs. QuestDB
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Our visitors often compare Firebolt and QuestDB with Apache Druid, SingleStore and Apache Pinot.
|Editorial information provided by DB-Engines|
|Name||Firebolt Xexclude from comparison||QuestDB Xexclude from comparison|
|Description||Highly scalable cloud data warehouse and analytics product Forked from Clickhouse||A high performance open source SQL database for time series data|
|Primary database model||Relational DBMS||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Firebolt Analytics Inc.||QuestDB Limited|
|License Commercial or Open Source||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Data scheme||yes||yes schema-free via InfluxDB Line Protocol|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||yes||SQL-like query language|
|APIs and other access methods||.Net|
RESTful HTTP API
InfluxDB Line Protocol (TCP/UDP)
|Supported programming languages||Go|
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by timestamps)|
|Replication methods Methods for redundantly storing data on multiple nodes||depending on storage layer||Configurable consistency for N replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID for single-table writes|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes through memory mapped files|
|More information provided by the system vendor|
|Specific characteristics||Relational model with native time series support Column based storage and time partitioned...|
|Competitive advantages||Real-time data ingestion and istant SQL queries for time series High performance...|
|Typical application scenarios||Application metrics Financial market data and algo trading DevOps monitoring Real-time...|
|Licensing and pricing models||Apache 2.0.|
Getting Started with QuestDB Cloud
Exploring Financial Tick Data with Jupyter Notebook and Pandas
Time-Series Data Visualization with Apache Superset and QuestDB
Optimizing the Optimizer: the Time-Series Benchmark Suite
QuestDB 7.1.2 Release
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