DBMS > Apache Druid vs. Google BigQuery vs. Hazelcast
System Properties Comparison Apache Druid vs. Google BigQuery vs. Hazelcast
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|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||Google BigQuery Xexclude from comparison||Hazelcast 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||A widely adopted in-memory data grid|
|Primary database model||Relational DBMS|
Time Series DBMS
|Relational DBMS||Key-value store|
|Secondary database models||Document store JSON support with IMDG 3.12|
|Developer||Apache Software Foundation and contributors||Hazelcast|
|Current release||28.0.0, November 2023||5.3.2, August 2023|
|License Commercial or Open Source||Open Source Apache license v2||commercial||Open Source Apache Version 2; commercial licenses available|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|hosted||All OS with a Java VM|
|Data scheme||yes schema-less columns are supported||yes||schema-free|
|Typing predefined data types such as float or date||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||yes the object must implement a serialization strategy|
|SQL Support of SQL||SQL for querying||yes||SQL-like query language|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
|RESTful HTTP/JSON API||JCache|
RESTful HTTP API
|Supported programming languages||Clojure|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||yes Replicated Map|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no Since BigQuery is designed for querying data||one or two-phase-commit; repeatable reads; read commited|
|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.||no||no||yes|
|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)||Role-based access control|
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|Apache Druid||Google BigQuery||Hazelcast|
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