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DBMS > Apache Druid vs. FatDB vs. QuestDB vs. Rockset vs. VelocityDB

System Properties Comparison Apache Druid vs. FatDB vs. QuestDB vs. Rockset vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparisonVelocityDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.A high performance open source SQL database for time series dataA scalable, reliable search and analytics service in the cloud, built on RocksDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMSDocument storeGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitedruid.apache.orgquestdb.iorockset.comvelocitydb.com
Technical documentationdruid.apache.org/­docs/­latest/­designquestdb.io/­docsdocs.rockset.comvelocitydb.com/­UserGuide
DeveloperApache Software Foundation and contributorsFatCloudQuestDB Technology IncRocksetVelocityDB Inc
Initial release20122012201420192011
Current release29.0.1, April 20247.x
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#Java (Zero-GC), C++, RustC++C#
Server operating systemsLinux
OS X
Unix
WindowsLinux
macOS
Windows
hostedAny that supports .NET
Data schemeyes infoschema-less columns are supportedschema-freeyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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.nonono infoingestion from XML files supportedno
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingno infoVia inetgration in SQL ServerSQL with time-series extensionsRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST.Net
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnoyes infovia applicationsnonono
Triggersnoyes infovia applicationsnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning (by timestamps)Automatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsAccess rights for users and organizations can be defined via Rockset consoleBased on Windows Authentication
More information provided by the system vendor
Apache DruidFatDBQuestDBRocksetVelocityDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

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8 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidFatDBQuestDBRocksetVelocityDB
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