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DBMS > Apache Druid vs. BoltDB vs. DataFS vs. GridGain

System Properties Comparison Apache Druid vs. BoltDB vs. DataFS vs. GridGain

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonDataFS  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeObject oriented DBMSKey-value store
Relational DBMS
Secondary database modelsGraph 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
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitedruid.apache.orggithub.com/­boltdb/­boltnewdatabase.comwww.gridgain.com
Technical documentationdruid.apache.org/­docs/­latest/­designdev.mobiland.com/­Overview.xspwww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation and contributorsMobiland AGGridGain Systems, Inc.
Initial release2012201320182007
Current release29.0.1, April 20241.1.263, October 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, C++, .Net
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
WindowsLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnonoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)
Triggersnonono, except callback-events from server when changes happenedyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
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
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoWindows-ProfileSecurity Hooks for custom implementations

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More resources
Apache DruidBoltDBDataFSGridGain
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