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DBMS > Apache Druid vs. Drizzle vs. EsgynDB vs. Faircom EDGE vs. SiteWhere

System Properties Comparison Apache Druid vs. Drizzle vs. EsgynDB vs. Faircom EDGE vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSiteWhere  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitedruid.apache.orgwww.esgyn.cnwww.faircom.com/­products/­faircom-edgegithub.com/­sitewhere/­sitewhere
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerEsgynFairCom CorporationSiteWhere
Initial release20122008201519792010
Current release29.0.1, April 20247.2.4, September 2012V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercialcommercial infoRestricted, free version availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaANSI C, C++Java
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesFlexible Schema (defined schema, partial schema, schema free)predefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes, 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.nonoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsyesyes infoANSI SQL queriesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes info.Net, JavaScript, C/C++
Triggersnono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingFile partitioning infoCustomizable business rules for partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization concept

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More resources
Apache DruidDrizzleEsgynDBFaircom EDGE infoformerly c-treeEDGESiteWhere
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