DBMS > QuestDB vs. TimescaleDB
System Properties Comparison QuestDB vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||QuestDB Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||A high performance open source SQL database for time series data||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Time Series DBMS|
|Secondary database models||Relational DBMS||Relational DBMS|
|Current release||2.6.0, February 2022|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Data scheme||yes schema-free via InfluxDB Line Protocol||yes|
|Typing predefined data types such as float or date||yes||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|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||yes|
|SQL Support of SQL||SQL-like query language||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP REST|
InfluxDB Line Protocol (TCP/UDP)
native C library
streaming API for large objects
|Supported programming languages||C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||no||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by timestamps)||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||Configurable consistency for N replicas||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID for single-table writes||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||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||no|
|User concepts Access control||fine grained access rights according to SQL-standard|
|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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