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DBMS > AlaSQL vs. Databricks vs. EJDB vs. Faircom EDGE vs. HBase

System Properties Comparison AlaSQL vs. Databricks vs. EJDB vs. Faircom EDGE vs. HBase

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionJavaScript DBMS libraryThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Document storeKey-value store
Relational DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitealasql.orgwww.databricks.comgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgehbase.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqldocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhbase.apache.org/­book.html
DeveloperAndrey Gershun & Mathias R. WulffDatabricksSoftmotionsFairCom CorporationApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20142013201219792008
Current releaseV3, October 20202.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCANSI C, C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possible
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesoptions to bring your own types, AVRO
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.noyesyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.with Databricks SQLnoyes infoANSI SQL queriesno
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesJavaScriptPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++yes infoCoprocessors in Java
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnonoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
AlaSQLDatabricksEJDBFaircom EDGE infoformerly c-treeEDGEHBase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AlaSQLDatabricksEJDBFaircom EDGE infoformerly c-treeEDGEHBase
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