DBMS > Apache Druid vs. Trafodion
System Properties Comparison Apache Druid vs. Trafodion
Please select another system to include it in the comparison.
Our visitors often compare Apache Druid and Trafodion with MySQL, Apache Phoenix and PostgreSQL.
|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||Trafodion Xexclude from comparison|
|Description||Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data||Transactional SQL-on-Hadoop DBMS|
|Primary database model||Relational DBMS|
Time Series DBMS
|Developer||Apache Software Foundation and contributors||Apache Software Foundation, originally developed by HP|
|Current release||26.0.0, May 2023||2.3.0, February 2019|
|License Commercial or Open Source||Open Source Apache license v2||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java||C++, Java|
|Server operating systems||Linux|
|Data scheme||yes schema-less columns are supported||yes|
|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||no|
|SQL Support of SQL||SQL for querying||yes|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
|Supported programming languages||Clojure|
|All languages supporting JDBC/ODBC/ADO.Net|
|Server-side scripts Stored procedures||no||Java Stored Procedures|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||yes, via HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes via user defined functions and HBase|
|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||no||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.||no||no|
|User concepts Access control||RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Imply Announces Automatic Schema Discovery for Apache Druid ...
Apache Druid Charms in Upper Echelons of OLAP Database ...
Cable TV's Latest Hit: Greater Grid Stability
Imply Announces Major Open Source Contribution for Apache Druid ...
Data Management in the Cloud: What the Tech Giants are Offering
provided by Google News
How Facebook Accelerates SQL at Extreme Scale
provided by Google News
GCP Druid Sr. Engineer
Sr Data engineer-Druid
Director, Data Management Systems
Share this page