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DBMS > Coveo vs. EJDB vs. Faircom EDGE vs. LokiJS vs. Sqrrl

System Properties Comparison Coveo vs. EJDB vs. Faircom EDGE vs. LokiJS vs. Sqrrl

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonLokiJS  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEmbeddable 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 environmentsIn-memory JavaScript DBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineDocument storeKey-value store
Relational DBMS
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.27
Rank#297  Overall
#44  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websitewww.coveo.comgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgegithub.com/­techfort/­LokiJSsqrrl.com
Technical documentationdocs.coveo.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmltechfort.github.io/­LokiJS
DeveloperCoveoSoftmotionsFairCom CorporationAmazon infooriginally Sqrrl Data, Inc.
Initial release20122012197920142012
Current releaseV3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++JavaScriptJava
Server operating systemshostedserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesnoyes
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.noyesno
Secondary indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesnono
APIs and other access methodsRESTful HTTP APIin-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JavaScript APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
Java
JavaScript
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++View functions in JavaScriptno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesnoneFile partitioning infoCustomizable business rules for partitioningnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
noneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno infoatomic operations within a single collection possibleAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
CoveoEJDBFaircom EDGE infoformerly c-treeEDGELokiJSSqrrl
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