DBMS > Axibase vs. Elasticsearch vs. QuestDB
System Properties Comparison Axibase vs. Elasticsearch vs. QuestDB
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|Editorial information provided by DB-Engines|
|Name||Axibase Xexclude from comparison||Elasticsearch Xexclude from comparison||QuestDB Xexclude from comparison|
|Description||Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||A high performance open source SQL database for time series data|
|Primary database model||Time Series DBMS||Search engine||Time Series DBMS|
|Secondary database models||Document store|
|Developer||Axibase Corporation||Elastic||QuestDB Limited|
|Current release||15585||8.6, January 2023|
|License Commercial or Open Source||commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid||Open Source Elastic License||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||All OS with a Java VM||Linux|
|Data scheme||yes||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes schema-free via InfluxDB Line Protocol|
|Typing predefined data types such as float or date||yes short, integer, long, float, double, decimal, string||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||no||no|
|Secondary indexes||no||yes All search fields are automatically indexed||no|
|SQL Support of SQL||SQL-like query language||SQL-like query language||SQL-like query language|
|APIs and other access methods||JDBC|
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON API
InfluxDB Line Protocol (TCP/UDP)
|Supported programming languages||Go|
Community Contributed Clients
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||yes||yes||no|
|Triggers||yes||yes by using the 'percolation' feature||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||horizontal partitioning (by timestamps)|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||yes||Configurable consistency for N replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||ES-Hadoop Connector||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Immediate Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID for single-table writes|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||Memcached and Redis integration||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.|
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