DBMS > Apache Druid vs. Google BigQuery vs. Linter vs. Trafodion
System Properties Comparison Apache Druid vs. Google BigQuery vs. Linter vs. Trafodion
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|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||Google BigQuery Xexclude from comparison||Linter 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||Large scale data warehouse service with append-only tables||RDBMS for high security requirements||Transactional SQL-on-Hadoop DBMS|
|Primary database model||Relational DBMS|
Time Series DBMS
|Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS|
|Developer||Apache Software Foundation and contributors||relex.ru/en||Apache Software Foundation, originally developed by HP|
|Current release||25.0.0, January 2023||2.3.0, February 2019|
|License Commercial or Open Source||Open Source Apache license v2||commercial||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||C and C++||C++, Java|
|Server operating systems||Linux|
HP Open VMS
|Data scheme||yes schema-less columns are supported||yes||yes||yes|
|Typing predefined data types such as float or date||yes||yes||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||no|
|SQL Support of SQL||SQL for querying||yes||yes||yes|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
|RESTful HTTP/JSON API||ADO.NET|
Oracle Call Interface (OCI)
|Supported programming languages||Clojure|
|All languages supporting JDBC/ODBC/ADO.Net|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||none||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||Source-replica replication||yes, via HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no||yes via user defined functions and HBase|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no Since BigQuery is designed for querying data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||no|
|User concepts Access control||RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
CData: Connect to Big Data & NoSQL through standard Drivers.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Apache Druid||Google BigQuery||Linter||Trafodion|
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