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DBMS > Apache Druid vs. Cassandra vs. Microsoft Azure AI Search vs. QuestDB

System Properties Comparison Apache Druid vs. Cassandra vs. Microsoft Azure AI Search vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCassandra  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessSearch-as-a-service for web and mobile app developmentA high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeSearch engineTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score98.83
Rank#12  Overall
#1  Wide column stores
Score5.52
Rank#59  Overall
#6  Search engines
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitedruid.apache.orgcassandra.apache.orgazure.microsoft.com/­en-us/­services/­searchquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designcassandra.apache.org/­doc/­latestlearn.microsoft.com/­en-us/­azure/­searchquestdb.io/­docs
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftQuestDB Technology Inc
Initial release2012200820152014
Current release29.0.1, April 20244.1.3, July 2023V1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesrestricted infoonly equality queries, not always the best performing solutionyesno
SQL infoSupport of SQLSQL for queryingSQL-like SELECT, DML and DDL statements (CQL)noSQL with time-series extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"Sharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnoACID for single-table writes
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.nononoyes infothrough memory mapped files
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per objectyes infousing Azure authentication
More information provided by the system vendor
Apache DruidCassandraMicrosoft Azure AI SearchQuestDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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