DBMS > IRONdb vs. QuestDB vs. Ultipa
System Properties Comparison IRONdb vs. QuestDB vs. Ultipa
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|Editorial information provided by DB-Engines|
|Name||IRONdb Xexclude from comparison||QuestDB Xexclude from comparison||Ultipa Xexclude from comparison|
|IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.|
|Description||A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity||A high performance open source SQL database for time series data||High performance Graph DBMS supporting HTAP high availability cluster deployment|
|Primary database model||Time Series DBMS||Time Series DBMS||Graph DBMS|
|Secondary database models||Relational DBMS|
|Developer||Circonus LLC.||QuestDB Technology Inc||Ultipa|
|Current release||V0.10.20, January 2018|
|License Commercial or Open Source||commercial||Open Source Apache 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++||Java (Zero-GC), C++, Rust|
|Server operating systems||Linux||Linux|
|Data scheme||schema-free||yes schema-free via InfluxDB Line Protocol|
|Typing predefined data types such as float or date||yes text, numeric, histograms||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||no|
|SQL Support of SQL||SQL-like query language (Circonus Analytics Query Language: CAQL)||SQL with time-series extensions|
|APIs and other access methods||HTTP API||HTTP REST|
InfluxDB Line Protocol (TCP/UDP)
PostgreSQL wire protocol
|RESTful HTTP API|
|Supported programming languages||.Net|
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||yes, in Lua||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic, metric affinity per node||horizontal partitioning (by timestamps)|
|Replication methods Methods for redundantly storing data on multiple nodes||configurable replication factor, datacenter aware||Source-replica replication with eventual consistency|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate consistency per node, eventual consistency across nodes||Immediate Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID for single-table writes|
|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.||no||yes through memory mapped files|
|User concepts Access control||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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