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DBMS > Apache Druid vs. atoti vs. Faircom EDGE vs. SQL.JS vs. SwayDB

System Properties Comparison Apache Druid vs. atoti vs. Faircom EDGE vs. SQL.JS vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSQL.JS  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsPort of SQLite to JavaScriptAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedruid.apache.orgatoti.iowww.faircom.com/­products/­faircom-edgesql.js.orgswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsActiveViamFairCom CorporationAlon Zakai infoenhancements implemented by othersSimer Plaha
Initial release2012197920122018
Current release29.0.1, April 2024V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availablecommercial infoRestricted, free version availableOpen SourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaANSI C, C++JavaScriptScala
Server operating systemsLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesno
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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)yes infoANSI SQL queriesyes infoSQL-92 is not fully supportedno
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
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptJava
Kotlin
Scala
Server-side scripts infoStored proceduresnoPythonyes info.Net, JavaScript, C/C++nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
Apache DruidatotiFaircom EDGE infoformerly c-treeEDGESQL.JSSwayDB
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