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DBMS > Apache Impala vs. Dgraph vs. EJDB vs. Faircom EDGE

System Properties Comparison Apache Impala vs. Dgraph vs. EJDB vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDgraph  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed and scalable native Graph DBMSEmbeddable 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 environments
Primary database modelRelational DBMSGraph DBMSDocument storeKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Websiteimpala.apache.orgdgraph.iogithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edge
Technical documentationimpala.apache.org/­impala-docs.htmldgraph.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDgraph Labs, Inc.SoftmotionsFairCom Corporation
Initial release2013201620121979
Current release4.1.0, June 2022V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2commercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoCANSI C, C++
Server operating systemsLinuxLinux
OS X
Windows
server-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Types
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.nonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoANSI SQL queries
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes info.Net, JavaScript, C/C++
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via Raftnoneyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes infoacross SQL and NoSQL
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno infoPlanned for future releasesnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Apache ImpalaDgraphEJDBFaircom EDGE infoformerly c-treeEDGE
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