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DBMS > Apache Druid vs. BoltDB vs. EventStoreDB vs. Faircom EDGE vs. Microsoft Azure SQL Database

System Properties Comparison Apache Druid vs. BoltDB vs. EventStoreDB vs. Faircom EDGE vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent StoreKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitedruid.apache.orggithub.com/­boltdb/­boltwww.eventstore.comwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation and contributorsEvent Store LimitedFairCom CorporationMicrosoft
Initial release20122013201219792010
Current release29.0.1, April 202421.2, February 2021V3, October 2020V12
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen Sourcecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoANSI C, C++C++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyes
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.nonoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnoyes infoANSI SQL queriesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++Transact SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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 systemnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard

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More resources
Apache DruidBoltDBEventStoreDBFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure SQL Database infoformerly SQL Azure
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