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DBMS > Apache Druid vs. Google BigQuery vs. Linter vs. RocksDB

System Properties Comparison Apache Druid vs. Google BigQuery vs. Linter vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonRocksDB  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 tablesRDBMS for high security requirementsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#105  Overall
#54  Relational DBMS
#6  Time Series DBMS
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score0.11
Rank#309  Overall
#142  Relational DBMS
Score3.91
Rank#89  Overall
#15  Key-value stores
Websitedruid.apache.orgcloud.google.com/­bigquerylinter.ru/­enrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsGooglerelex.ru/­enFacebook, Inc.
Initial release2012201019902013
Current release0.22.1, December 20217.1.1, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL for queryingyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)fine grained access rights according to SQL-standardno

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More resources
Apache DruidGoogle BigQueryLinterRocksDB
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Recent citations in the news

Imply Announces $100M Investment Led by Thoma Bravo to Drive the Market Shift to Modern Analytics Applications
17 May 2022, Business Wire

Imply to Showcase Apache Druid and Imply Polaris at Confluent-hosted Kafka Summit
19 April 2022, PR Web

OMERS Growth Equity backs US data analytics startup Imply in $100 million USD Series D - BetaKit
17 May 2022, Canadian Startup News

Imply Data valuation tops $1 bln with backing from Thoma Bravo, Omers
17 May 2022, MarketWatch

Apache Druid Gets Multi-Stage Reporting Engine, Cloud Service from Imply
1 March 2022, Datanami

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20 July 2021, CIO

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23 March 2016, ZDNet

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