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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
NameApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLarge scale data warehouse service with append-only tablesA widely adopted in-memory data grid
Primary database modelRelational DBMS
Time Series DBMS		Relational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.94
Rank#104  Overall
#54  Relational DBMS
#6  Time Series DBMS
Score49.07
Rank#23  Overall
#15  Relational DBMS
Score10.38
Rank#48  Overall
#6  Key-value stores
Websitedruid.apache.orgcloud.google.com/­bigqueryhazelcast.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docshazelcast.org/­imdg/­docs
DeveloperApache Software Foundation and contributorsGoogleHazelcast
Initial release201220102008
Current release0.22.1, December 20215.1, March 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Unix		hostedAll OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API		RESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala		.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby		.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoEvent Listeners, Executor Services
Triggersnonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access control

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Apache DruidGoogle BigQueryHazelcast
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