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DBMS > Apache Drill vs. EsgynDB vs. Faircom EDGE vs. Hazelcast

System Properties Comparison Apache Drill vs. EsgynDB vs. Faircom EDGE vs. Hazelcast

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEnterprise-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 environmentsA widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitedrill.apache.orgwww.esgyn.cnwww.faircom.com/­products/­faircom-edgehazelcast.com
Technical documentationdrill.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docs
DeveloperApache Software FoundationEsgynFairCom CorporationHazelcast
Initial release2012201519792008
Current release1.20.3, January 2023V3, October 20205.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2; 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 languageC++, JavaANSI C, C++Java
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes, 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 infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyes infoANSI SQL queriesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC++All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor Services
Triggersnonoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access control

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More resources
Apache DrillEsgynDBFaircom EDGE infoformerly c-treeEDGEHazelcast
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