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DBMS > Apache Druid vs. FileMaker vs. RocksDB vs. Vitess

System Properties Comparison Apache Druid vs. FileMaker vs. RocksDB vs. Vitess

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFileMaker  Xexclude from comparisonRocksDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFileMaker is a cross-platform RDBMS that includes a GUI frontend.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitedruid.apache.orgwww.claris.com/­filemakerrocksdb.orgvitess.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.claris.com/­resources/­documentationgithub.com/­facebook/­rocksdb/­wikivitess.io/­docs
DeveloperApache Software Foundation and contributorsClaris infoa subsidiary of AppleFacebook, Inc.The Linux Foundation, PlanetScale
Initial release2012198320132013
Current release29.0.1, April 202419.4.1, November 20218.11.4, April 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoBSDOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Unix
iOS infoclient part only
Linux
OS X
Windows
LinuxDocker
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyes infovia pluginsnoyes infowith proprietary extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Filemaker WebDirect
JDBC
ODBC
C++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
PHPC
C++
Go
Java
Perl
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accounts and connection to external directory servicesnoUsers with fine-grained authorization concept infono user groups or roles

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Apache DruidFileMakerRocksDBVitess
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